2017
DOI: 10.1146/annurev-matsci-070115-032036
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Deformation of Crystals: Connections with Statistical Physics

Abstract: We give a bird's

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Cited by 79 publications
(76 citation statements)
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References 156 publications
(202 reference statements)
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“…The distribution of dislocations and grain boundaries and their motion play an important role in materials physics as they determine many material properties and response, especially in polycrystalline and heteroepitaxial systems. A great deal of research has been devoted to the study of such systems to better understand the interplay between the many disparate length scales involved (Rollett et al, 2015, Sethna et al, 2017. Microscopic theories, such as Density Functional Theory and Molecular Dynamics, provide detailed descriptions at the microscopic scale, but are unfortunately restricted to relatively small length and time scales.…”
Section: Introductionmentioning
confidence: 99%
“…The distribution of dislocations and grain boundaries and their motion play an important role in materials physics as they determine many material properties and response, especially in polycrystalline and heteroepitaxial systems. A great deal of research has been devoted to the study of such systems to better understand the interplay between the many disparate length scales involved (Rollett et al, 2015, Sethna et al, 2017. Microscopic theories, such as Density Functional Theory and Molecular Dynamics, provide detailed descriptions at the microscopic scale, but are unfortunately restricted to relatively small length and time scales.…”
Section: Introductionmentioning
confidence: 99%
“…Here, we provide a way that can be used, in principle, to estimate the probability of quenched microstates as a function of material parameters (plastic strain, size, and hardening coefficients). 2 The evidence for quenched disorder in initial defect microstructures has been accumulated through observations of abrupt plastic events or material-crackling noise in a large variety of materials, such as FCC and BCC crystals, [3][4][5][6] amorphous solids 7 and also earthquake geological faults. 8,9 This crackling noise 10 has been commonly explained by random field models 11,12 or interface depinning ones, [13][14][15][16][17][18] where the major component is homogeneous solid elasticity, but also a spatially inhomogeneous and random distribution of local, quenched disorder (typically entering local flow stress information) 4,17,[19][20][21] and the allowed microstates are characterized by its stress and strain and minimize the elastic energy functional.…”
Section: Introductionmentioning
confidence: 99%
“…However, the major concern has been the fact that while homogeneous elastic properties are relatively straightforward to measure and test at virtually any scale, 22 the model distribution of local, quenched disorder is elusive, despite its commonly observed signature response of stochastic plastic bursts. [3][4][5]7 In this paper, we propose a feasible approach to "learn" the quenched disorder distributions directly from load-response timeseries: We argue that the full characteristics of the timeseries may unveil the information on the form of the quenched disorder distribution which is not available through typical temporally local observables (such as abrupt event size/duration). 23 While the major motivation of this work stems from plastic deformation, this method is generally applicable across crackling noise phenomena, defined through timeseries of an applied field (magnetic field, force, stress) and the associated response variable (magnetization, displacement, and strain).…”
Section: Introductionmentioning
confidence: 99%
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“…Since dislocation energies are strongly coupled to their atomic environment, a more realistic picture taking into account viscoelastic effects suggests that some irreversible local deformation processes even exist at low deformation . In this respect, molecular dynamics (MD) studies appear to be an attractive way to characterize the very local deformation mechanisms in both elastic and plastic regimes, although limited in size (typically tens of nanometers) and time (microseconds).…”
Section: Introductionmentioning
confidence: 99%