1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.chem-ph2026
UBio-MolFM: Enabling Biomolecular Dynamics at DFT Accuracy and Atoms with One Untuned Potential
Lin Huang, Frank Peng, JiaJun Cheng +8
Ion conduction, membrane permeation and metal recognition hinge on electronic structure, yet first-principles simulation reaches only hundreds of atoms. UBio-MolFM lifts that ceili…
physics.chem-ph2026
UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems
Lin Huang, Arthur Jiang, XiaoLi Liu +8
All-atom molecular simulation serves as a quintessential ``computational microscope'' for understanding the machinery of life, yet it remains fundamentally limited by the trade-off…
physics.chem-ph2026★ 1 cited
Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing
Chu Wang, Lin Huang, Xinran Wei +4
Machine learning force fields (MLFFs) have revolutionized molecular simulations by providing quantum mechanical accuracy at the speed of molecular mechanical computations. However,…