High entropy alloys (HEAs) are single phase crystals that consist of random solid solutions of multiple elements in approximately equal proportions. This class of novel materials have exhibited superb mechanical properties, such as high strength which is associated with the motion of dislocations (line defects). We obtain a stochastic continuum model based on the Peierls-Nabarro framework for dislocations in an HEA from an atomistic model that incorporates the atomic level randomness and short-range order. This approach provides a fundamental explanation to the origin of the high strength of HEAs based on the stochastic effects on the intrinsic strength. We also develop a machine learning framework to unravel the complex relationship between chemical composition and materials properties in HEAs.

项阳, 香港科技大学数学系教授, 博士毕业于纽约大学科朗数学研究所。主要研究领域在于材料科学中的数学建模、数值计算以及相应的分析, 在与缺陷相关的材料建模与计算上取得了一系列具有重要意义的原创性成果。他是美国工业与应用数学协会材料科学中数学问题大会2021年大会报告人, 入选斯坦福大学发布的全球Top 2%科学家。现任东亚工业与应用数学会主席。