11 citations · 25 across the 11 of their papers we have counts for
4 papers · 1 filter
Reinforcement learning amortizes transition-state physics into one-step flow models
Yunyang Li, Zechang Sun, Kuang Yu +3
Transition-state searches remain a major bottleneck in reaction discovery, as identifying valid saddle-point structures requires numerous expensive quantum-chemical calculations. G…
Physics Guided Generative Optimization for Trotter Suzuki Decomposition
WenBin Yan
Trotter Suzuki product formulas are the standard route to Hamiltonian evolution on noisy intermediate-scale quantum (\NISQ{}) hardware, but their accuracy depends on three coupled…
THEMol dataset: Torsion, Hessian, and Energy of Molecules
Jiashu Liang, Tianze Zheng, Yu Xia +13
We present THEMol (Torsion, Hessian, Energy of Molecules), a massive open-source collection of quantum mechanical properties tailored for closed-shell organic molecules, with up to…
Development and large-scale benchmarks of a protein--ligand absolute binding free energy toolkit
Yu Liu, Ailun Wang, Yu Xia +2
Absolute binding free energy (ABFE) calculations offer a theoretically rigorous approach for predicting protein--ligand binding affinities without the scaffold constraints of relat…