揭示铁弹性中应变玻璃化转变的原子机制

Chuanxin Liang, Dong Wang, Zhao Wang, Xiangdong Ding, Yunzhi Wang
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引用次数: 11

摘要

应变玻璃作为一种新的铁弹性态,近年来引起了人们的广泛关注,最重要的是,应变玻璃跃迁(sgt)可以支持许多困扰物理界几十年的现象,包括准线性超弹性和Invar和Elinvar异常。然而,除了现象学的朗道理论之外,在原子论层面上缺乏基本的认识。本文提出了一种结合高斯概率分布函数,通过分子静力学计算定量获得点缺陷引起的连续应变/应力场分布的方法。利用定量应变/应力场分布为相场模拟提供信息,定量再现了实验观察到的不同温度下正常马氏体相变与sts相变的临界缺陷浓度,以及不同缺陷浓度下自发应变玻璃到马氏体相变的临界温度。基于渗流理论,我们证明了临界浓度的点缺陷形成的应变网络如何调节马氏体域的成核和生长,通过应变抑制自催化,并将一阶马氏体转变为连续的SGT。为了准确预测SGT,我们制定了一个通用的依赖于温度和缺陷浓度的渗流准则。这可以实现高通量计算,系统地搜索新的应变玻璃系统使用简单的分子静态计算。
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Revealing the Atomistic Mechanisms of Strain Glass Transition in Ferroelastics
Abstract As a new ferroelastic state, strain glass has attracted a lot of recent attentions and, most importantly, strain glass transitions (SGTs) could underpin many phenomena that have puzzled the physics community for decades, including the quasi-linear superelasticity and Invar and Elinvar anomalies. However, there has been a lack of fundamental understanding at the atomistic level beyond the phenomenological Landau theory. In this paper, we propose a way to obtain quantitatively the continuous strain/stress fields distribution caused by point defects through molecular statics calculations by incorporating a Gaussian probability distribution function. By using the quantitative strain/stress fields distribution to inform phase field simulations, we reproduce quantitatively the experimentally observed critical defect concentrations separating the normal martensitic phase transition from SGTs at different temperatures and critical temperatures for spontaneous strain glass to martensitic transition at different defect concentrations. Based on percolation theory, we demonstrate how the strain network created by point defects with a critical concentration regulates the nucleation and growth of martensitic domains, suppresses autocatalysis by strain frustration, and changes the sharp first-order martensitic transformation into a continuous SGT. A general temperature- and defect-concentration-dependent percolation criterion is formulated for accurate prediction of SGT, which could enable high throughput computations for systematic search of new strain glass systems using simply molecular static calculations.
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