most citedStiffness minimisation of graded microstructural configurations using asymptotic analysis and machine learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

math.AP2026

Large-data solutions in multi-dimensional thermoviscoelasticity with temperature-dependent viscosities

Chuang Ma, Bin Guo

This paper investigates a quasilinear parabolic system arising in thermoviscoelasticity of Kelvin-Voigt type with temperature-dependent viscosity and coupled terms. The system, giv…

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…