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Aug 2026

PINS: A Physics-Informed Generative Framework for De Novo Structure Elucidation from 1D NMR Spectra.

PINS (Physics-Informed NMR Structure elucidation model), a generative framework that explicitly bridges the gap between spectral data and molecular topology by enforcing multiphysical priors, provides a trustworthy, automated strategy for decoding novel chemical structures in data-scarce regimes.

Pengfei Liu, Cuimei Liu, Laiqun Xia et al. · 0 citations
Open access Aug 2026

A Multitask Large Reasoning Model for Molecular Science

A task-adaptive large reasoning model that integrates chemical knowledge through a synergistic multispecialist architecture, chain-of-thought supervision, and molecule-informed reinforcement learning is presented, demonstrating a versatile multitask framework for knowledge-guided molecular reasoning and design.

Pengfei Liu, Shuang Ge, Xiaobo Wang et al. · 0 citations