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cond-mat.mtrl-sci2026
Fourier Neural Operators for Composition-Driven Crystal Structure Discovery
Zhijie Yu, Jingyu Li, Yang Huang +1
Crystalline materials discovery is essential for energy, electronics, and catalysis, but the vast chemical and structural space makes exhaustive screening infeasible. Existing voxe…
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…