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Lin Huang — most-cited papers & profile · AI for Science
← authors
·
overview
Lin Huang
14
papers ·
19
citations ·
1
h-index
Sichuan Agricultural University · Shanghai Dianji University
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Most-cited papers
Accurate and scalable exchange-correlation with deep learning
2025 · 9 citations
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
2023 · 6 citations
Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing
2026 · 1 citations
UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems
2026
Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields
2026
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
2025
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
2025
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
2024
Top co-authors
Jia Zhang
· 6
Xinran Wei
· 6
Yunyang Li
· 5
Chang Liu
· 4
Han Yang
· 4
Zun Wang
· 4
Bin Shao
· 3
Chu Wang
· 3
Tao Qin
· 3
Arthur Jiang
· 2
Mark Gerstein
· 2
Peiran Jin
· 2
Topics
Chemistry
Materials
Drug Discovery
Protein Science
Physics ML