“Softness” as the structural origin of plasticity in disordered solids: a quantitative insight from machine learning

Liu, Xiaodi; Fu-cheng, LI; Yang, Yong

doi:10.1007/s40843-018-9316-2

Cited by 18 publications

(5 citation statements)

References 70 publications

(67 reference statements)

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“…As expected, E r and H n of the A1 sample increase to 210.72 and 14.45 GPa, respectively. The increase in modulus usually indicates a decrease in the atomic distance [ 42 ]. As indicated by the aforementioned analyses, the released free volume in A1 MG results in a more compact atomic arrangement and thereby a higher E r .…”

Section: Resultsmentioning

confidence: 99%

Investigation of the Structural Heterogeneity and Corrosion Performance of the Annealed Fe-Based Metallic Glasses

et al. 2021

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This study investigated the structural heterogeneity, mechanical property, electrochemical behavior, and passive film characteristics of Fe–Cr–Mo–W–C–B–Y metallic glasses (MGs), which were modified through annealing at different temperatures. Results showed that annealing MGs below the glass transition temperature enhanced corrosion resistance in HCl solution owing to a highly protective passive film formed, originating from the decreased free volume and the shrinkage of the first coordination shell, which was found by pair distribution function analysis. In contrast, the enlarged first coordination shell and nanoscale crystal-like clusters were identified for MGs annealed in the supercooled liquid region, which led to a destabilized passive film and thereby deteriorated corrosion resistance. This finding reveals the crucial role of structural heterogeneity in tuning the corrosion performance of MGs.

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Section: Resultsmentioning

confidence: 99%

Investigation of the Structural Heterogeneity and Corrosion Performance of the Annealed Fe-Based Metallic Glasses

et al. 2021

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“…The softness approach has been shown to successfully identify the structural origin of the thermally- or stress-induced heterogeneous atomic mobility in disordered materials , and identify local structural fluctuations that are correlated to the tendency for crystallization, local energy barriers, plasticity, fracture toughness, and flexibility . The softness approach has also been used to characterize fluctuations in short- and medium-range structural units …”

Section: Modeling Techniquesmentioning

confidence: 99%

Beyond the Average: Spatial and Temporal Fluctuations in Oxide Glass-Forming Systems

et al. 2022

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Atomic structure dictates the performance of all materials systems; the characteristic of disordered materials is the significance of spatial and temporal fluctuations on composition−structure−property−performance relationships. Glass has a disordered atomic arrangement, which induces localized distributions in physical properties that are conventionally defined by average values. Quantifying these statistical distributions (including variances, fluctuations, and heterogeneities) is necessary to describe the complexity of glassforming systems. Only recently have rigorous theories been developed to predict heterogeneities to manipulate and optimize glass properties. This article provides a comprehensive review of experimental, computational, and theoretical approaches to characterize and demonstrate the effects of short-, medium-, and long-range statistical fluctuations on physical properties (e.g., thermodynamic, kinetic, mechanical, and optical) and processes (e.g., relaxation, crystallization, and phase separation), focusing primarily on commercially relevant oxide glasses. Rigorous investigations of fluctuations enable researchers to improve the fundamental understanding of the chemistry and physics governing glassforming systems and optimize structure−property−performance relationships for next-generation technological applications of glass, including damage-resistant electronic displays, safer pharmaceutical vials to store and transport vaccines, and lower-attenuation fiber optics. We invite the reader to join us in exploring what can be discovered by going beyond the average.

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“…Recent machine learning schemes try to describe such variations using terms like "softness". [43][44][45] It has been shown that short molecular dynamics runs indeed do show variations in the local Debye-Waller factor throughout the sample. Owing to these variations in the initial values of order parameter, the corresponding gains in the configurational entropy from rearranging regions will also fluctuate as one scans across a locally metastable configuration.…”

Section: The Heterogeneous Aperiodic Crystal and The Random Field Magnetmentioning

confidence: 99%

The Random First Order Transition Theory of Glasses in Real Space-Time: Instantons, Strings, Flames and Flows

Wolynes¹

2022

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Understanding structural glasses using the Random First Order Transition theory requires a description in both real space and in time, taking into account sample history. A variety of nonlinear objects enter this description, in field theory terms, when there is replica symmetry breaking: instantons, strings, flames and flows. We focus on this real space description and use it to describe the crossover to the energy landscape regime, dynamical heterogeneity, aging and the formation of shear bands in glasses under stress.

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“Softness” as the structural origin of plasticity in disordered solids: a quantitative insight from machine learning

Cited by 18 publications

References 70 publications

Investigation of the Structural Heterogeneity and Corrosion Performance of the Annealed Fe-Based Metallic Glasses

Investigation of the Structural Heterogeneity and Corrosion Performance of the Annealed Fe-Based Metallic Glasses

Beyond the Average: Spatial and Temporal Fluctuations in Oxide Glass-Forming Systems

The Random First Order Transition Theory of Glasses in Real Space-Time: Instantons, Strings, Flames and Flows

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