4.8 Article

Reversibility and criticality in amorphous solids

期刊

NATURE COMMUNICATIONS
卷 6, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms9805

关键词

-

资金

  1. US Department of Energy at Los Alamos National Laboratory [DE-AC52-06NA25396]
  2. NSF [DMR 10-05209, DMS 10-69224]
  3. Division Of Materials Research
  4. Direct For Mathematical & Physical Scien [1005209] Funding Source: National Science Foundation

向作者/读者索取更多资源

The physical processes governing the onset of yield, where a material changes its shape permanently under external deformation, are not yet understood for amorphous solids that are intrinsically disordered. Here, using molecular dynamics simulations and mean-field theory, we show that at a critical strain amplitude the sizes of clusters of atoms undergoing cooperative rearrangements of displacements (avalanches) diverges. We compare this nonequilibrium critical behaviour to the prevailing concept of a 'front depinning' transition that has been used to describe steady-state avalanche behaviour in different materials. We explain why a depinning-like process can result in a transition from periodic to chaotic behaviour and why chaotic motion is not possible in pinned systems. These findings suggest that, at least for highly jammed amorphous systems, the irreversibility transition may be a side effect of depinning that occurs in systems where the disorder is not quenched.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Multidisciplinary Sciences

Alkali-deficiency driven charged out-of-phase boundaries for giant electromechanical response

Haijun Wu, Shoucong Ning, Moaz Waqar, Huajun Liu, Yang Zhang, Hong-Hui Wu, Ning Li, Yuan Wu, Kui Yao, Turab Lookman, Xiangdong Ding, Jun Sun, John Wang, Stephen J. Pennycook

Summary: The study demonstrates a new strategy in alkali niobate epitaxial films, utilizing alkali vacancies without alloying to form nanopillars enclosed with out-of-phase boundaries that can give rise to a giant electromechanical response. This approach provides a pathway to achieve large electromechanical response with good temperature stability in similar perovskite oxides.

NATURE COMMUNICATIONS (2021)

Article Materials Science, Multidisciplinary

Effects of thermal and electrical hysteresis on phase transitions and electrocaloric effect in ferroelectrics: A computational study

Zhonghua Li, Hong-Hui Wu, Junjie Li, Shihan Wang, Shiqiang Qin, Jingjin He, Chuanbao Liu, Yanjing Su, Lijie Qiao, Turab Lookman, Yang Bai

Summary: Hysteresis has an influence on the electrocaloric effect (ECE), affecting the reversibility of the ECE. In first-order phase transitions with hysteresis regions, a large ECE occurs, but the temperature span under zero field decreases with increasing electric field. In continuous electric field cycles, the thermal response of irreversible ECE decreases with subsequent changes in field, and electrical hysteresis loss leads to an increase in temperature.

ACTA MATERIALIA (2022)

Article Chemistry, Physical

Automated pipeline for superalloy data by text mining

Weiren Wang, Xue Jiang, Shaohan Tian, Pei Liu, Depeng Dang, Yanjing Su, Turab Lookman, Jianxin Xie

Summary: This study introduces a natural language processing pipeline to extract chemical composition and property data from scientific literature, facilitating analysis and prediction of superalloys using a data-driven model. The accuracy of predictions was verified through synthesis and characterization of alloys, and a web-based toolkit was provided as an online open-source platform.

NPJ COMPUTATIONAL MATERIALS (2022)

Article Materials Science, Multidisciplinary

Molecular dynamics simulations of ultralow hysteretic behavior in super-elastic shape memory alloys

Xuefei Tao, Yang Yang, Hongxiang Zong, Xiangdong Ding, Kaiyuan Yu, Turab Lookman, Jun Sun

Summary: Metastable engineering is used to dope conventional shape memory alloys (SMAs) in order to achieve ultralow hysteretic superelasticity. Large-scale molecular dynamic simulations demonstrate the influence of dopants on the phase transformation process of SMAs.

ACTA MATERIALIA (2022)

Article Materials Science, Multidisciplinary

Low-fatigue and large room-temperature elastocaloric effect in a bulk Ti49.2Ni40.8Cu10 alloy

Pengfei Dang, Fan Ye, Yumei Zhou, Lei Ding, Jianbo Pang, Lei Zhang, Xiangdong Ding, Jun Sun, Sheng Dai, Turab Lookman, Dezhen Xue

Summary: A bulk polycrystalline alloy with nanocrystalline features and epitaxially related structures has been synthesized using cold-rolling and aging treatment, showing excellent elastocaloric cooling properties and fatigue characteristics at room temperature.

ACTA MATERIALIA (2022)

Article Developmental Biology

Rectified random cell motility as a mechanism for embryo elongation

Ido Regev, Karine Guevorkian, Anupam Gupta, Olivier Pourquie, L. Mahadevan

Summary: This study investigates the effects of cell motility gradients on body elongation using the chicken embryo as a model. The combination of electroporation and time-lapse imaging techniques reveals that random cell motility induced by a cellular signal (FGF) and geometric confinement play important roles in tissue elongation. Both experimental observations and theoretical models demonstrate that the continuous addition of cells at the tail bud, combined with lateral confinement, results in directed movement and body elongation.

DEVELOPMENT (2022)

Article Chemistry, Physical

Cooperative effects driving the multi-periodic dynamics of cyclically sheared amorphous solids

Asaf Szulc, Muhittin Mungan, Ido Regev

Summary: This study investigates the multi-periodic behavior of amorphous solids under cyclic forcing. The researchers propose that oscillations in the switching field of soft spots, which are generated by cooperative effects facilitated by frustrated interactions between the soft spots, lead to the observed multi-periodicity. This finding has implications for manipulating memory in frustrated hysteretic systems.

JOURNAL OF CHEMICAL PHYSICS (2022)

Article Materials Science, Multidisciplinary

Temperature-field history dependence of the elastocaloric effect for a strain glass alloy

Deqing Xue, Ruihao Yuan, Yuanchao Yang, Jianbo Pang, Yumei Zhou, Xiangdong Ding, Turab Lookman, Xiaobing Ren, Jun Sun, Dezhen Xue

Summary: This study demonstrates the control of martensitic transformation to strain glass transition through defect doping, leading to a wide range of elastocaloric effect. Furthermore, an inverse elastocaloric effect is observed in strain glass alloy with a history of zero-field cooling. This research provides a design recipe for expanding the temperature range for a good elastocaloric effect.

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2022)

Article Materials Science, Multidisciplinary

Symbolic regression in materials science via dimension-synchronous-computation

Changxin Wang, Yan Zhang, Cheng Wen, Mingli Yang, Turab Lookman, Yanjing Su, Tong-Yi Zhang

Summary: There is a growing interest in using machine learning techniques to extract explicit relationships between material descriptors and target properties, such as band gap energy.

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2022)

Article Nanoscience & Nanotechnology

Rapid Discovery of Efficient Long-Wavelength Emission Garnet:Cr NIR Phosphors via Multi-Objective Optimization

Lipeng Jiang, Xue Jiang, Changxin Wang, Pei Liu, Yan Zhang, Guocai Lv, Turab Lookman, Yanjing Su

Summary: This paper utilizes multi-objective optimization to discover a high-efficiency NIR phosphor Gd3Mg0.5Al1.5Ga2.5Ge0.5O12:0.04Cr3+, which exhibits broadband NIR emission, good thermal stability, and promising applications for NIR pc-LED. Machine learning models and an active learning strategy are employed to achieve efficient synthesis and characterization.

ACS APPLIED MATERIALS & INTERFACES (2022)

Article Physics, Applied

History dependence of avalanche dynamics of ferroelectric phase transition in BaTiO3 under external bias field

Yangyang Xu, Guomang Shao, Yumei Zhou, Yu Wang, Sen Yang, Xiangdong Ding, Jun Sun, E. K. H. Salje, Turab Lookman, Dezhen Xue

Summary: A ferroelectric phase transition in barium titanate single crystals under an external electric field is observed, showing scale invariant nucleation and growth of complex domain structures. The energy exponent varies with the external bias and cooling history, with the exponent being near 1.68±0.022 for a single-domain sample after field cooling and 1.66 for a multi-domain sample after zero field cooling under high fields. The complex domain patterns in the multi-domain sample hinder the movement of the phase boundary and generate more small energy signals, resulting in a high critical exponent. The aftershock time distribution remains the same for all switching conditions with Omori exponent near -1 and switching time correlations of -1±0.05 for short times and -2±0.10 for long times.

APPLIED PHYSICS LETTERS (2023)

Article Physics, Applied

Acoustic emission study on avalanche dynamics of ferroelectric switching in lead zirconate titanate ceramics

Guomang Shao, Yangyang Xu, Yumei Zhou, Xiangdong Ding, Jun Sun, E. K. H. Salje, Turab Lookman, Dezhen Xue

Summary: The avalanche dynamics of ferroelectric switching in lead zirconate titanate ceramics were investigated. Two distinct power-law regimes were identified, and the critical energy exponents were determined. The events were attributed to the depinning of domain walls from different types of defects.

JOURNAL OF APPLIED PHYSICS (2022)

Article Materials Science, Multidisciplinary

Tailoring Grain Size and Precipitation via Aging for Improved Elastocaloric Stability in a Cold-Rolled (Ni,Cu)-Rich Ti-Ni-Cu Alloy

Pengfei Dang, Yumei Zhou, Xiangdong Ding, Jun Sun, Turab Lookman, Dezhen Xue

Summary: There are critical challenges in applying shape memory alloys to solid-state refrigeration, with the degradation of elastocaloric response during repetitive loading being an outstanding issue. Refined grains or dispersed precipitates can improve elastocaloric stability in shape memory alloys by providing high resistance to dislocation activity during transformation.

SHAPE MEMORY AND SUPERELASTICITY (2023)

Article Chemistry, Physical

Alloy synthesis and processing by semi-supervised text mining

Weiren Wang, Xue Jiang, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, Jianxin Xie

Summary: This study introduces a semi-supervised text mining method to extract parameters related to the sequence of alloy synthesis and processing actions. By automatically extracting synthesis and processing actions from a large corpus of scientific texts, it is possible to improve the prediction model of the data-driven relationship between synthesis factors and structures.

NPJ COMPUTATIONAL MATERIALS (2023)

Article Chemistry, Physical

A descriptor for the design of 2D MXene hydrogen evolution reaction electrocatalysts

Changxin Wang, Xiaoxu Wang, Tianyao Zhang, Ping Qian, Turab Lookman, Yanjing Su

Summary: This study investigates the potential of 2D metal carbide semiconductor, Ti2CO2, as an electrocatalyst for the hydrogen evolution reaction (HER). By anchoring single transition metal atoms on Ti vacancies, the catalytic activity and conductivity of Ti2CO2 can be tuned. The results identify Ti2CO2-W as a promising nonprecious HER electrocatalyst with excellent catalytic activity, conductivity, and stability. Machine learning methods are also applied to develop a physical descriptor for efficient searching of highly active HER catalysts.

JOURNAL OF MATERIALS CHEMISTRY A (2022)

暂无数据