Author

Huanfei Wang

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Jul 2026

Chem World: A Large-Scale Benchmark and Physics-Informed Framework for Trustworthy Chemical Property Prediction

Chem World is introduced, a comprehensive benchmark for chemical property prediction that integrates 17 diverse chemical datasets with over 800,000 molecular samples, covering various properties including density, electrical conductivity, solubility, and other molecular characteristics and Mixture-PINN is proposed, a physics-informed neural network based prediction framework that incorporates chemical prior knowledge into data-driven learning.

Tianyou Bai, Huanfei Wang, Ming Gao et al. · arXiv.org · 0 citations

Preprint Aug 2026

RamanPFN: learning from Raman spectral structure with a tabular foundation model

RamanPFN is presented, a spectral representation framework that encodes dependencies before TabPFN inference and establishes explicit spectral representation as an effective interface between high-dimensional Raman measurements and reusable tabular inference.

Xingyu Pan, Huanfei Wang, Jin-Jia Guo et al. · 1 citation