5 citations · 6 across the 2 of their papers we have counts for
2 papers
math.NA2021★ 1 cited
Stiffness minimisation of graded microstructural configurations using asymptotic analysis and machine learning
Chuang Ma, Dingchuan Xue, Shaoshuai Li +3
The article is aimed to address a mutually boosting use of asymptotic analysis and machine learning, for fast stiffness design of configurations infilled with smoothly-varying grad…
cond-mat.mtrl-sci2020★ 5 cited
Surrogate representation of sink strengths and the long-term role of crystalline interfaces in the development of irradiation-induced bubbles
Jing Luo, Yong Xin, Zhengcheng Zhou +2
The present article addresses an early-stage attempt on replacing the analyticity-based sink strength terms in rate equations by surrogate models of machine learning representation…