论文标题
从结构指标预测无序固体的可塑性
Predicting plasticity in disordered solids from structural indicators
论文作者
论文摘要
无定形固体缺乏远程顺序。因此，识别结构缺陷 - 类似于晶体固体中的脱位 - 在这些系统中携带塑料流量仍然是一个艰巨的挑战。通过比较玻璃的计算模型中的许多不同结构指标，在各种条件下，我们仔细评估了这些指标中的哪个能够可靠地识别负责无定形固体中塑性流量的结构缺陷。我们进一步证明，缺陷的密度随材料制备和应变的函数而变化，与宏观材料响应高度相关。我们的工作代表了预测无定形固体如何以及何时因其微观结构而失败的重要一步。
Amorphous solids lack long-range order. Therefore identifying structural defects -- akin to dislocations in crystalline solids -- that carry plastic flow in these systems remains a daunting challenge. By comparing many different structural indicators in computational models of glasses, under a variety of conditions we carefully assess which of these indicators are able to robustly identify the structural defects responsible for plastic flow in amorphous solids. We further demonstrate that the density of defects changes as a function of material preparation and strain in a manner that is highly correlated with the macroscopic material response. Our work represents an important step towards predicting how and when an amorphous solid will fail from its microscopic structure.
