activity
20222026
most citedForces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

170 citations · 224 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2026

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy

Xinyan Zhong, Yuwei Shi, Yuqi Wei +3

Scientific question answering requires a retrieval system to solve two distinct problems: identifying which papers are relevant and locating the supporting evidence within those pa…

physics.chem-ph2026

Empowering Polymeric Materials Discovery by Artificial Intelligence

Chenyao Ma, Linda Zhang, Yuheng Chen +29

Polymeric materials underpin modern technologies spanning energy storage, microelectronics, healthcare and sustainable manufacturing. Yet their rational design remains exceptionall…

cond-mat.soft2023★ 18 cited

Implicit Chain Particle Model for Polymer Grafted Nanoparticles

Zhenghao Wu, Subhadeep Pal, Sinan Keten

Matrix-free nanocomposites made from polymer grafted nanoparticles (PGN) represent a paradigm shift in materials science because they greatly improve nanoparticle dispersion and of…

physics.comp-ph2022★ 170 cited

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

Xiang Fu, Zhenghao Wu, Wujie Wang +4

Molecular dynamics (MD) simulation techniques are widely used for various natural science applications. Increasingly, machine learning (ML) force field (FF) models begin to replace…

physics.chem-ph2022★ 36 cited

Learning Pair Potentials using Differentiable Simulations

Wujie Wang, Zhenghao Wu, Rafael Gómez-Bombarelli

Learning pair interactions from experimental or simulation data is of great interest for molecular simulations. We propose a general stochastic method for learning pair interaction…