3 papers
cond-mat.mtrl-sci2026
Composition-Weighted Symbolic Regression for General-Purpose Property Prediction
Yang Huang, Jingrun Chen
We introduce a composition-weighted symbolic regression framework for interpretable prediction of materials properties directly from chemical composition. The method jointly learns…
math.NA2025
Weak Random Feature Method for Solving Partial Differential Equations
Mikhail Kuvakin, Zijian Mei, Jingrun Chen
The random feature method (RFM) has demonstrated great potential in bridging traditional numerical methods and machine learning techniques for solving partial differential equation…
math.NA2025
An Unsupervised Network Architecture Search Method for Solving Partial Differential Equations
Qing Li, Jingrun Chen
Solving partial differential equations (PDEs) has been indispensable in scientific and engineering applications. Recently, deep learning methods have been widely used to solve high…