This manuscript studies the mechanical response of amorphous silica based on data mining from molecular dynamics simulations. The temperature- and densification-dependent yield criteria have been established. The proposed modified Drucker-Prager-cap yield criterion adequately captures the temperature effect on the initial yield surface. The main focus of this study has been on understanding the critical state, which defines the onset of an inhomogeneous plastic deformation. The machine learning-based nonparametric regression method has been employed to describe complex shear critical state dependence on temperature, pressure, and strain rate.

中文翻译：

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熔融石英的气态温度和速率相关的机械响应

该手稿基于分子动力学模拟的数据挖掘，研究了非晶态二氧化硅的机械响应。已经建立了依赖温度和致密化的屈服准则。拟议的修改的Drucker-Prager-cap屈服准则充分捕获了初始屈服面上的温度效应。这项研究的主要重点是了解临界状态，该状态定义了不均匀塑性变形的开始。基于机器学习的非参数回归方法已被用来描述复杂的剪切临界状态对温度，压力和应变率的依赖性。