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You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["Cast", "coarse", "in - grain"], "Material": ["nickel - base superalloys"], "Property": ["elastic properties", "grain microstructure", "anisotropy"], "Result": ["very large scatter"]} | Cast nickel - base superalloys elastic properties have a very large scatter , mainly because of the coarse grain microstructure and in - grain anisotropy . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["high dispersion"], "Operation": ["design"], "Application": ["gas turbine blades"], "Phenomenon": ["elastic behavior", "blades vibration"]} | This high dispersion must be taken into account in the design of gas turbine blades , in particular when evaluating phenomena directly linked to the elastic behavior , such as blades vibration . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["elastic properties", "size"], "Result": ["scatter", "lesser number of"], "Mesostructure or Macrostructure": ["specimens"], "Characterization": ["material characterization"], "Descriptor": ["inferior"], "Microstructure": ["grains"]} | This source of elastic properties scatter becomes even more important on specimens for material characterization because of their inferior size , which entails a lesser number of grains ( i.e. a larger scatter ) : |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["model"], "Property": ["standard deviation", "Young 's modulus", "eigenfrequencies"], "Descriptor": ["tested"], "Mesostructure or Macrostructure": ["specimens", "clamps"], "Application": ["blades"]} | The performances of the model in predicting the standard deviation of the Young 's modulus ( and consequently of the eigenfrequencies ) are also shown , both for tested specimens and blades excited on clamps . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["sensitivity FEM modal analysis"], "Result": ["evaluate", "dispersion", "anomalous"], "Property": ["elastic property", "eigenfrequencies", "mode shapes", "Young 's modulus"], "Application": ["blade"], "Descriptor": ["relative"]} | Finally , a sensitivity FEM modal analysis is performed in order to evaluate how the elastic property dispersion might affect the blade eigenfrequencies and the relative mode shapes , with particular emphasis on the case of a specific region of a geometrically complex component affected by an anomalous Young 's modulus... |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["influence"], "Application": ["blade"], "Property": ["mass"], "Descriptor": ["experimental"], "Characterization": ["clamp impact tests"], "Operation": ["FEM analyses"]} | Besides , the influence of the blade mass is evaluated through both experimental clamp impact tests and FEM analyses . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Application": ["blades"], "Result": ["scatter", "dispersion"], "Operation": ["compared"], "Property": ["elastic properties"]} | The effect on blades of such source of scatter is then compared to the effect of the elastic properties dispersion . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["ANSYS"], "Operation": ["simulations"]} | ANSYS program has been used for the simulations . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["high stress", "grain size gradient"], "Descriptor": ["excellent"], "Phenomenon": ["strain hardening"], "Mesostructure or Macrostructure": ["nanocrystalline", "NC", "surface region"], "Material": ["materials"]} | Substantial research has shown the remarkable mechanical properties such as high stress and excellent strain hardening of nanocrystalline ( NC ) materials with a grain size gradient on their surface region . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["constitutive model", "stress gradient plasticity model"], "Mesostructure or Macrostructure": ["NC"], "Property": ["gradient", "different grain sizes"], "Material": ["metals"], "Phenomenon": ["dislocation interaction"], "Descriptor": ["adjacent", "rate - dependent"], "Phase": ["phases"]} | Here , a constitutive model of the NC gradient metals is established considering the dislocation interaction among adjacent phases with different grain sizes by employing a rate - dependent stress gradient plasticity model . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["material length scale", "size - dependent effect", "distance"], "Descriptor": ["single fitting parameter", "between"], "Number": ["two"], "Mesostructure or Macrostructure": ["dislocation obstacles"]} | A material length scale which captures the size - dependent effect is introduced as the single fitting parameter under the physical meanings of the distance between two dislocation obstacles . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["simulation"], "Result": ["results", "good agreement", "experimental data"], "Property": ["gradient"], "Mesostructure or Macrostructure": ["NC", "coarse grain", "CG"], "Material": ["coppers"], "Phenomenon": ["nano - grain growth mechanism"]} | The simulation results for the gradient NC coppers considering the nano - grain growth mechanism as well as the coarse grain ( CG ) coppers are in good agreement with the experimental data . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["mechanical behaviors"], "Mesostructure or Macrostructure": ["NC", "NC layer"], "Property": ["gradient", "thickness", "grain size distribution"], "Material": ["metals"], "Operation": ["optimized"]} | The overall mechanical behaviors of the NC gradient metals can be optimized considering the effects of the NC layer thickness as well as the NC grain size distribution . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["strength", "ductility", "gradient"], "Result": ["tradeoff", "evaded"], "Mesostructure or Macrostructure": ["NC"], "Material": ["metals"], "Operation": ["failure analysis"]} | Moreover , the strength - ductility tradeoff can be evaded for the NC gradient metals based on the failure analysis . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["introduced"], "Property": ["material length scale", "yield stress"], "Result": ["salient effect"], "Phenomenon": ["failure behavior"]} | Additionally , the introduced material length scale has a salient effect on the yield stress as well as the failure behavior . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["designing"], "Descriptor": ["functional gradient"], "Mesostructure or Macrostructure": ["NC"], "Material": ["metals"], "Environment": ["stress gradient"], "Phenomenon": ["dislocation interaction"], "Phase": ["phases"], "Property": ["gradient", "grain size distribution"]} | This proposed model can be served in designing functional gradient NC metals considering the stress gradient caused by the dislocation interaction in the NC phases with gradient grain size distribution . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["in - house", "composite", "anodic", "cathodic"], "Operation": ["model"], "Material": ["MIEC or MIEC - CGO"], "Result": ["to analyse"], "Mesostructure or Macrostructure": ["electrode"], "Phenomenon": ["operating mechanisms"], "Environment": ["polarisations"]} | An in - house model for a MIEC or MIEC - CGO composite has been built in order to analyse the electrode operating mechanisms in anodic and cathodic polarisations ( SOEC and SOFC modes ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Mesostructure or Macrostructure": ["electrode"], "Microstructure": ["microstructure"], "Property": ["properties"], "Phenomenon": ["processes"]} | A special attention has been paid to take into account the electrode microstructure properties as well as the most likely processes occurring therein . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["first", "surface", "second one in parallel"], "Operation": ["oxidoreduction"], "Mesostructure or Macrostructure": ["gas / MIEC", "electrode TPBs"]} | The reactive pathway has been divided in a sequence of reaction steps with a first oxidoreduction at the gas / MIEC surface , and a second one in parallel at the electrode TPBs . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["model"], "Result": ["experimental data"], "Number": ["800"], "Environment": ["degrees C", "symmetrical test"], "Material": ["LSCF electrode"], "Descriptor": ["configuration"]} | The model has been calibrated on experimental data recorded at 800 degrees C on a LSCF electrode tested in a symmetrical test configuration . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["good agreement", "polarisation curves"], "Descriptor": ["simulated", "experimental", "tomography"], "Mesostructure or Macrostructure": ["electrode", "3D reconstruction"], "Property": ["microstructural properties"], "Characterization": ["FIB - SEM"]} | A good agreement was found between simulated and experimental polarisation curves by using the electrode microstructural properties extracted from a 3D reconstruction obtained by FIB - SEM tomography . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Material": ["LSCF"], "Descriptor": ["single - phase", "surface"], "Mesostructure or Macrostructure": ["electrode", "gas / MIEC"], "Phenomenon": ["reactive pathway", "oxygen exchange"], "Environment": ["cathodic polarisation"]} | Considering the LSCF single - phase electrode , simulation results have highlighted that the reactive pathway is governed by the oxygen exchange at the gas / MIEC surface in cathodic polarisation . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["mechanism", "oxidation", "reactive pathway"], "Result": ["unchanged", "predominant"], "Descriptor": ["low"], "Environment": ["anodic polarisation", "TPBs", "higher polarisation"]} | The mechanism is found to remain unchanged at low anodic polarisation , whereas oxidation at TPBs becomes the predominant reactive pathway at higher polarisation . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Material": ["LSCF - CGO"], "Descriptor": ["composite", "reactive", "whatever"], "Phenomenon": ["mechanism", "charge transfer"], "Result": ["governed"], "Environment": ["TPBs", "electrode polarisation"]} | For the LSCF - CGO composite , simulations have shown that the reactive mechanism is governed by the charge transfer at TPBs whatever the electrode polarisation . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["sensitivity analysis"], "Property": ["rate - limiting steps"], "Descriptor": ["different"], "Phenomenon": ["reactive pathways"]} | Thanks to sensitivity analysis , the rate - limiting steps of the different reactive pathways are also discussed . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Microstructure": ["microstructure"], "Result": ["predictions", "experimental measurements"], "Operation": ["validated"], "Descriptor": ["Corus", "pilot scale"], "Synthesis": ["rolling"], "Material": ["AA5083 aluminum alloy"]} | The microstructure predictions were validated against experimental measurements conducted using the Corus pilot scale rolling facility in IJmuiden , the Netherlands for an AA5083 aluminum alloy . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["sensitivity analysis", "changing", "model"], "Result": ["influence"], "Property": ["material constants"], "Microstructure": ["microstructure"], "Environment": ["deformation conditions"], "Descriptor": ["predicted", "behaviour"], "Phenomenon": ["recrystallization"]} | A sensitivity analysis was carried out to determine the influence of changing the material constants in the microstructure model and deformation conditions on the predicted recrystallization behaviour . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Environment": ["entry temperature"], "Result": ["most sensitive", "significant changes"], "Descriptor": ["process parameter", "predicted", "recrystallized"], "Property": ["driving force", "nucleation density", "fraction recrystallized", "grain size"], "Phenomenon": ["recrystallization"]} | The analysis showed that the entry temperature was the most sensitive process parameter causing significant changes in the predicted driving force for recrystallization , nucleation density , fraction recrystallized , and recrystallized grain size . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Material": ["titanium alloys"], "Result": ["optimizing"], "Property": ["tensile strength", "yield strength", "modulus of elasticity", "biocompatibility"], "Operation": ["artificial neural network", "ANN", "recursive partitioning", "RP"]} | The objective of the current study was to design titanium alloys by optimizing tensile strength , yield strength , modulus of elasticity and biocompatibility using the artificial neural network ( ANN ) and recursive partitioning ( RP ) models . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Number": ["308"], "Material": ["titanium alloys"], "Operation": ["model"], "Property": ["alloy composition", "property"], "Environment": ["processing parameters"], "Descriptor": ["each"], "Result": ["optimized"]} | The database of 308 titanium alloys served as the basis of the model with alloy composition and processing parameters as inputs and each property to be optimized as the target . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["RP model"], "Property": ["thresholds", "biocompatibility"], "Participating Material": ["alloying elements"]} | RP model was used to elucidate different thresholds of alloying elements that are decisive of biocompatibility . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["increase"], "Property": ["concentration", "modulus of elasticity", "concentrations"], "Participating Material": ["Ta", "Nb"], "Result": ["decrease", "reaches"], "Descriptor": ["high"], "Material": ["cortical bone"]} | With the increase in the concentration of Ta and Nb , the modulus of elasticity was shown to decrease and at high concentrations , modulus of elasticity reaches to that of cortical bone . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["ANN - based", "timely", "cost - effective", "biocompatible"], "Operation": ["optimization"], "Property": ["prerequisite properties"], "Result": ["solutions"], "Material": ["titanium alloys"]} | To conclude , ANN - based optimization of prerequisite properties facilitated timely and cost - effective solutions in the design of biocompatible titanium alloys . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["evaluate"], "Descriptor": ["thermally induced", "real - time", "medium - to - low maturity", "Chang 73", "sub - member", "self developed", "high - temperature", "pseudo - triaxial", "different"], "Property": ["permeability enhancement potential", "stress sensitivity", "pulse - decay gas permeability", "... | To evaluate the thermally induced permeability enhancement potential and stress sensitivity during in situ heating ( ISH ) , real - time measurement of pulse - decay gas permeability ( PDP ) of medium - to - low maturity shale cores from Chang 73 sub - member shale oil reservoir was carried out in our self developed hi... |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Characterization": ["Stereo light microscope", "SLM", "computerized tomography", "CT", "nuclear magnetic resonance", "NMR"], "Result": ["quantitatively characterize"], "Phenomenon": ["microstructure development"], "Material": ["shale cores"]} | Stereo light microscope ( SLM ) , computerized tomography ( CT ) scan , and nuclear magnetic resonance ( NMR ) tests were conducted to quantitatively characterize the microstructure development in the shale cores . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Characterization": ["lithology", "thermal analysis"], "Descriptor": ["primary"], "Property": ["mechanisms", "physical property"], "Phenomenon": ["thermal cracking", "nanopores evolution"], "Result": ["improvement"]} | Based on the lithology and thermal analysis , the primary mechanisms of thermal cracking , nanopores evolution , and physical property improvement were discussed in detail . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["porosity", "permeability", "stress sensitivity"], "Result": ["increased", "stronger"], "Number": ["3.13", "624.09", "400", "30.21"], "Amount Unit": ["times", "degrees C", "\\ %"], "Descriptor": ["average"], "Environment": ["above", "threshold temperature"]} | The experimental results show that the porosity and permeability can be effectively increased to 3.13 times and 624.09 times on average above the threshold temperature of approximately 400 degrees C , but this also results in a stronger stress sensitivity of permeability up to 30.21 \ % . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["coverage", "density", "complexity", "connectivity"], "Mesostructure or Macrostructure": ["fracture network"], "Result": ["dramatically improved"]} | Furthermore , the coverage , density , complexity , and connectivity of the fracture network can be dramatically improved . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["large number", "secondary"], "Mesostructure or Macrostructure": ["nanopores"], "Property": ["diameters"], "Number": ["2", "50"], "Amount Unit": ["nm"], "Result": ["dominate"]} | A large number of secondary nanopores with diameters in the range of 2 - 50 nm dominate . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["good correlation"], "Phenomenon": ["microstructure development"], "Property": ["physical property"]} | There is a good correlation between microstructure development and physical property variation . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["kerogen pyrolysis"], "Result": ["most critical", "enhancement"], "Property": ["mechanism", "physical property"], "Mesostructure or Macrostructure": ["microstructure"]} | We found that the kerogen pyrolysis was the most critical mechanism for the significant enhancement in microstructure and physical property . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["Process - induced", "as - designed", "as - manufactured"], "Mesostructure or Macrostructure": ["defects"], "Result": ["discrepancies"], "Synthesis": ["additive manufacturing", "AM"], "Property": ["product behavior"]} | Process - induced defects are the leading cause of discrepancies between as - designed and as - manufactured additive manufacturing ( AM ) product behavior . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Application": ["metal lattices"], "Result": ["variations"], "Descriptor": ["printed"], "Mesostructure or Macrostructure": ["geometry"]} | Especially for metal lattices , the variations in the printed geometry cannot be neglected . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["evaluation"], "Result": ["influence", "is crucial"], "Property": ["microstructural variability", "mechanical behavior"], "Characterization": ["quality assessment"], "Mesostructure or Macrostructure": ["produced structures"]} | Therefore , the evaluation of the influence of microstructural variability on their mechanical behavior is crucial for the quality assessment of the produced structures . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["as - manufactured"], "Mesostructure or Macrostructure": ["geometry"], "Characterization": ["computed tomography", "CT"]} | Commonly , the as - manufactured geometry can be obtained by computed tomography ( CT ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["process - induced"], "Mesostructure or Macrostructure": ["defects"], "Operation": ["numerical analysis"]} | However , to incorporate all process - induced defects into the numerical analysis is often computationally demanding . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["limited to a predefined set"], "Property": ["strut size", "strut diameter"]} | Thus , commonly this task is limited to a predefined set of considered variations , such as strut size or strut diameter . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["CT - based", "periodic", "metal"], "Operation": ["binary random field"], "Property": ["statistically equivalent"], "Mesostructure or Macrostructure": ["geometries", "lattices"]} | In this work , a CT - based binary random field is proposed to generate statistically equivalent geometries of periodic metal lattices . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["random field model"], "Environment": ["Finite Cell Method"], "Descriptor": ["immersed boundary method", "underlying"], "Result": ["efficiently evaluate"], "Microstructure": ["microstructure"], "Property": ["mechanical behavior"], "Application": ["AM products"]} | The proposed random field model in combination with the Finite Cell Method ( RCM ) , an immersed boundary method , allows to efficiently evaluate the influence of the underlying microstructure on the variability of the mechanical behavior of AM products . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["Numerical analysis"], "Number": ["two"], "Mesostructure or Macrostructure": ["lattices"], "Environment": ["different scales"], "Result": ["excellent agreement", "experimental data"]} | Numerical analysis of two lattices manufactured at different scales shows an excellent agreement with experimental data . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Synthesis": ["process"], "Result": ["geometrical variations"], "Property": ["mechanical behavior"]} | Furthermore , it provides a unique insight into the effects of the process on the occurring geometrical variations and final mechanical behavior . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["designing", "design representation", "design evaluation", "design synthesis", "reconstruct", "search"], "Microstructure": ["microstructural", "microstructure", "microstructures"], "Result": ["key questions", "optimal", "desired"], "Descriptor": ["quantitatively", "heterogeneous", "statistically equivale... | In designing a microstructural materials system , there are several key questions associated with design representation , design evaluation , and design synthesis : how to quantitatively represent the design space of a heterogeneous microstructure system using a small set of design variables , how to efficiently recons... |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["descriptor - based"], "Operation": ["methodology"], "Microstructure": ["microstructural"]} | This paper proposes a new descriptor - based methodology for designing microstructural materials systems . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["descriptor - based", "microstructure descriptors"], "Characterization": ["characterization"], "Result": ["quantitative representation"], "Material": ["material"], "Property": ["morphology", "material composition", "dispersion status", "phase geometry"]} | A descriptor - based characterization method is proposed to provide a quantitative representation of material morphology using a small set of microstructure descriptors covering features of material composition , dispersion status , and phase geometry at different levels of representation . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["descriptor - based", "stochastic"], "Operation": ["reconstruction algorithm"], "Microstructure": ["microstructures"], "Characterization": ["Finite Element Analysis", "FEA"], "Phenomenon": ["material behavior"]} | A descriptor - based multi-phase microstructure reconstruction algorithm is developed which allows efficient stochastic reconstruction of microstructures for Finite Element Analysis ( FEA ) of material behavior . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["choice of descriptors", "finite set of descriptors", "infinite dimensional"], "Material": ["polymer nanocomposites"], "Result": ["verified"], "Operation": ["mapping"], "Characterization": ["correlation function"]} | The choice of descriptors for polymer nanocomposites is verified by establishing a mapping between the finite set of descriptors and the infinite dimensional correlation function . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["descriptor - based representation"], "Result": ["allows", "optimal", "target"], "Operation": ["parametric optimization approach"], "Microstructure": ["microstructure"], "Property": ["material properties"]} | Finally , the descriptor - based representation allows the use of parametric optimization approach to search the optimal microstructure design that meets the target material properties . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["improve"], "Operation": ["search", "computational design methods", "Design of Experiment", "DOE", "statistical sensitivity analysis", "multi-objective optimization"], "Property": ["efficiency"], "Descriptor": ["state - of - the - art"], "Characterization": ["metamodeling"]} | To improve the search efficiency , this paper employs state - of - the - art computational design methods such as Design of Experiment ( DOE ) , metamodeling , statistical sensitivity analysis , and multi-objective optimization . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["challenge to fabricate"], "Phase": ["monocrystalline", "perovskite"], "Microstructure": ["microstructures"], "Descriptor": ["facile", "low - temperature", "solution - based"], "Synthesis": ["methods"]} | However , it remains a challenge to fabricate monocrystalline phase - pure perovskite microstructures by facile low - temperature solution - based methods . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["structure", "ratios"], "Microstructure": ["perovskite crystals"], "Result": ["successfully tuned"], "Descriptor": ["non-corner sharing", "0D", "corner - sharing", "3D", "layered", "2D"], "Material": ["Cs4PbBr6", "CsPbBr3", "CsPb2Br5"], "Operation": ["controlling"], "Participating Material": ["water", "H2... | The structure of perovskite crystals is successfully tuned from non-corner sharing Cs4PbBr6 ( 0D ) to corner - sharing CsPbBr3 ( 3D ) to layered CsPb2Br5 ( 2D ) by controlling water ( H2O ) to dimethylsulfoxide ( DMSO ) ratios . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["as - synthesized", "highly uniform", "3D", "nanofabricated"], "Microstructure": ["perovskite single crystals"], "Operation": ["coupled"], "Participating Material": ["interdigitated electrodes"], "Result": ["excellent"], "Characterization": ["X - ray detection"], "Property": ["high sensitivity"], "Numbe... | Furthermore , the as - synthesized , highly uniform 3D perovskite single crystals are coupled with nanofabricated interdigitated electrodes to show excellent X - ray detection , with a high sensitivity of 8000 mu C Gy( air ) ( - 1 ) cm ( - 2 ) obtained under a 0.5V external bias . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["comparable", "several times higher than"], "Descriptor": ["commercial", "inorganic", "perovskite materials", "quantum dots"], "Characterization": ["X - ray detectors"], "Material": ["Si", "alpha - Se", "CsPbBr3", "Cs2AgBiBr6"]} | This is comparable to many commercial X - ray detectors ( Si , alpha - Se ) and several times higher than other reported inorganic perovskite materials ( CsPbBr3 quantum dots , Cs2AgBiBr6 ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["Particle reinforced"], "Material": ["metal matrix composites", "MMCs"]} | Particle reinforced metal matrix composites ( MMCs ) offer high strength , low density , and high stiffness , while maintaining reasonable cost . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["damage", "fracture", "de-cohesion"], "Material": ["MMCs"], "Participating Material": ["particles"], "Mesostructure or Macrostructure": ["particle - matrix interfaces"]} | The damage process in these MMCs starts with either the fracture of particles or by the de-cohesion of the particle - matrix interfaces . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["extended"], "Operation": ["finite elements method", "XFEM"], "Characterization": ["X - ray synchrotron tomography"], "Phenomenon": ["fracture mechanisms"], "Environment": ["tensile loading"]} | In this study , the extended finite elements method ( XFEM ) has been used in conjunction with X - ray synchrotron tomography to study fracture mechanisms in these materials under tensile loading . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["3D reconstructed"], "Microstructure": ["microstructure"], "Characterization": ["X - ray tomography"], "Operation": ["XFEM"], "Result": ["simulate"], "Phenomenon": ["damage"], "Number": ["20"], "Amount Unit": ["vol .\\%"]} | The initial 3D reconstructed microstructure from X - ray tomography has been used as a basis for the XFEM to simulate the damage in the 20 vol .\% |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Participating Material": ["SiC particle"], "Material": ["2080 aluminum alloy composite"], "Environment": ["tensile loading"]} | SiC particle reinforced 2080 aluminum alloy composite when tensile loading is applied . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["evolution of damage"], "Environment": ["applied traction"], "Result": ["evaluated", "experimental results"], "Operation": ["simulation", "compared"], "Descriptor": ["in situ"], "Characterization": ["tensile testing"]} | The evolution of damage with the applied traction has been evaluated using simulation and compared with the experimental results obtained from in situ tensile testing . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Descriptor": ["full - eye", "microstructural level", "age - related"], "Operation": ["biomechanical material model"], "Property": ["characteristics", "stiffening"], "Mesostructure or Macrostructure": ["ocular tissues"], "Phenomenon": ["tissue behaviour"]} | This paper aims to present a novel full - eye biomechanical material model that incorporates the characteristics of ocular tissues at microstructural level , and use the model to analyse the age - related stiffening in tissue behaviour . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["collagen content", "magnitude", "orientation"], "Mesostructure or Macrostructure": ["ocular tissues", "cornea", "sclera", "geometry", "eye globe"], "Characterization": ["X - ray scattering"], "Result": ["represented"], "Operation": ["Zernike polynomials", "reconstruct"], "Participating Material": ["colla... | The collagen content in ocular tissues , as obtained using X - ray scattering measurements , was represented by sets of Zernike polynomials that covered both the cornea and sclera , then used to reconstruct maps of collagen fibril magnitude and orientation on the three - dimensional geometry of the eye globe . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["reducing", "FE solution"], "Property": ["directions", "anisotropy"], "Participating Material": ["collagen fibril"], "Characterization": ["X - ray scattering measurement"], "Number": ["180", "16", "0.08"], "Result": ["limited and insignificant effect"], "Amount Unit": ["\\ %"]} | Sensitivity analysis showed that reducing the number of directions that represented the anisotropy of collagen fibril orientation at each X - ray scattering measurement point from 180 to 16 would have limited and insignificant effect on the FE solution ( 0.08 \ % ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["model"], "Descriptor": ["high level"], "Result": ["control", "potential for use"], "Property": ["stiffness", "anisotropy"], "Mesostructure or Macrostructure": ["ocular globe"], "Application": ["surgical", "medical"]} | The model offers a high level of control of stiffness and anisotropy across ocular globe , and therefore has the potential for use in planning surgical and medical procedures . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["approach", "distinct - element - method", "DEM", "image analysis"], "Property": ["microscopic properties"], "Mesostructure or Macrostructure": ["granular media"], "Result": ["couples"], "Characterization": ["x-ray microtomography"], "Descriptor": ["simulations"]} | We describe an approach for exploring microscopic properties of granular media that couples x-ray microtomography and distinct - element - method ( DEM ) simulations through image analysis . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["instant arching"], "Mesostructure or Macrostructure": ["hourglass", "cylinder", "circular shutter"], "Descriptor": ["polydisperse mixture", "small", "in the bottom"], "Participating Material": ["glass beads"]} | We illustrate it via the study of the intriguing phenomenon of instant arching in an hourglass ( in our case a cylinder filled with a polydisperse mixture of glass beads that has a small circular shutter in the bottom ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Characterization": ["X - ray tomography"], "Descriptor": ["three - dimensional snapshots"], "Property": ["microscopic conditions"], "Mesostructure or Macrostructure": ["system", "shutter"], "Environment": ["prior to opening", "thereafter"]} | X - ray tomography provides three - dimensional snapshots of the microscopic conditions of the system both prior to opening the shutter , and thereafter , once jamming is completed . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["process time"], "Descriptor": ["in between"], "Result": ["bridged", "good agreement with"], "Operation": ["DEM simulation"], "Characterization": ["x-ray images"]} | The process time in between is bridged using DEM simulation , which settles to positions in remarkably good agreement with the x-ray images . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["image analysis", "compress"], "Descriptor": ["geometrical information", "per tomograph"], "Property": ["positions", "sizes"], "Mesostructure or Macrostructure": ["beads"], "Characterization": ["x-ray tomographs"], "Result": ["data representation"], "Number": ["5", "tens of"], "Amount Unit": ["gigabytes"... | Specifically designed image analysis procedures accurately extract the geometrical information , i.e. , the positions and sizes of the beads , from the raw x-ray tomographs , and compress the data representation from initially 5 gigabytes to a few tens of kilobytes per tomograph . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["sensitivity analysis"], "Phenomenon": ["perturbations"], "Mesostructure or Macrostructure": ["bead"], "Property": ["sizes", "positions"]} | The scope of the approach is explored through a sensitivity analysis to input data perturbations in both bead sizes and positions . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Property": ["size", "position - estimates", "sizes"], "Result": ["critical", "difficulty"], "Mesostructure or Macrostructure": ["mixture", "beads"], "Descriptor": ["different"]} | We establish that accuracy of size - much more than position - estimates is critical , thus explaining the difficulty in considering a mixture of beads of different sizes . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Result": ["limits in the replication"], "Phenomenon": ["granular flows", "chaotic motion"], "Environment": ["away from equilibrium"], "Descriptor": ["difficulty of numerically reproducing"]} | We further point to limits in the replication ability of granular flows away from equilibrium ; i.e. , the difficulty of numerically reproducing chaotic motion . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Application": ["agricultural sciences"]} | In the field of agricultural sciences , numerical modelling has proven to be a valuable tool in finding solutions to practical and scientific issues . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["computational model"], "Mesostructure or Macrostructure": ["plant tissue", "geometrical features", "epidermis"], "Descriptor": ["micro-scale", "qualitative", "quantitative"], "Property": ["mechanical properties"], "Material": ["onion", "Allium cepa"]} | In the present study a computational model of plant tissue that incorporates micro-scale geometrical features was developed to provide qualitative and quantitative predictions of the mechanical properties of onion ( Allium cepa ) epidermis . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["cellular structure behaviour"], "Descriptor": ["various"], "Environment": ["mechanical load conditions"], "Operation": ["finite element method", "FEM"]} | The simulations of cellular structure behaviour under various mechanical load conditions were carried out using the finite element method ( FEM ) . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["models", "validated"], "Result": ["experimental data"], "Characterization": ["tensile test"], "Mesostructure or Macrostructure": ["real tissue strips"]} | The models were validated against experimental data from a tensile test of the real tissue strips . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["models"], "Result": ["capabilities of simulating", "closely matched", "experimental data"], "Environment": ["large strains"], "Descriptor": ["up to"], "Number": ["25"], "Amount Unit": ["\\ %"], "Phenomenon": ["nonlinear behaviour"], "Property": ["force - strain curves"]} | The models showed capabilities of simulating large strains ( up to 25 \ % ) with nonlinear behaviour and produced force - strain curves that closely matched the experimental data . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Microstructure": ["real microstructure"], "Descriptor": ["qualitative"], "Result": ["improvement"], "Property": ["mechanical characteristics"], "Operation": ["FEM models"], "Mesostructure or Macrostructure": ["plant tissues"]} | The incorporation of the real microstructure resulted in a qualitative improvement of the mechanical characteristics obtained from FEM models of plant tissues . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Operation": ["simulate"], "Property": ["impact"], "Environment": ["turgor pressure"], "Result": ["limited"], "Descriptor": ["semi - three dimensional", "representation"], "Mesostructure or Macrostructure": ["tissue"]} | The ability to directly simulate the impact of changes in turgor pressure was limited due to the semi - three dimensional representation of tissue . |
You will be provided with a string, and your task is to extract keywords from it. The type of each keyword must be one of Material, Participating Material, Synthesis, Characterization, Environment, Phenomenon, Mesostructure or Macrostructure, Microstructure, Phase, Property, Descriptor, Operation, Result, Application, ... | {"Phenomenon": ["behaviour"], "Mesostructure or Macrostructure": ["tissue", "semi- solid protoplast", "cells liquid"], "Operation": ["changes", "approximated", "replaced"], "Environment": ["turgor"]} | The general behaviour of tissue resulting from the changes in turgor was approximated using the semi- solid protoplast that replaced the cells liquid . |
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