most citedNMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.AI2025

Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale

Linfeng Zhang, Siheng Chen, Yuzhu Cai +46

AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning with tool use and verification, pointing to a shift from isolated AI-assi…

physics.chem-ph20251 cited

NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization

Yongqi Jin, Jun-Jie Wang, Fanjie Xu +6

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most powerful and widely used tools for molecular structure elucidation in organic chemistry. However, the interpretatio…

physics.chem-ph2025

Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling

Lirong Wu, Junjie Wang, Zhifeng Gao +6

Organic reaction, the foundation of modern chemical industry, is crucial for new material development and drug discovery. However, deciphering reaction mechanisms and modeling mult…

cs.LG2025

SynBridge: Bridging Reaction States via Discrete Flow for Bidirectional Reaction Prediction

Haitao Lin, Junjie Wang, Zhifeng Gao +5

The essence of a chemical reaction lies in the redistribution and reorganization of electrons, which is often manifested through electron transfer or the migration of electron pair…

cs.LG2025

pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation

Jiale Zhao, Pengzhi Mao, Kaifei Wang +12

Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature extractors rather than unified scoring frameworks. We present pUniFind, the first l…

q-bio.BM2025

Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling

Shuqi Lu, Xiaohong Ji, Bohang Zhang +5

Molecular pretrained representations (MPR) has emerged as a powerful approach for addressing the challenge of limited supervised data in applications such as drug discovery and mat…