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Current Opinion in Structural Biology
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November 22, 2025
Recent advances in artificial intelligence-driven biomolecular dynamics simulations based on machine learning force fields
Taoyong Cui, Yutao Zhou, Tong Wang
Scientific Data
|
December 4, 2025
A Large Scale Molecular Hessian Database for Optimizing Reactive Machine Learning Interatomic Potentials
Taoyong Cui, Yonghong Han, Haojun Jia, et al.
Genome Biology
|
May 2, 2026
EvoRMD: integrating biological context and evolutionary RNA language models for interpretable prediction of RNA modifications
Bo Wang, Hao Zhang, Taoyong Cui, et al.
Nature Communications
|
February 22, 2025
Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
July 13, 2025
Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models
Qiyuan Zhao, Yunhong Han, Duo Zhang, et al.
Nature Communications
|
December 20, 2025
Evidential deep learning for interatomic potentials
Han Xu, Taoyong Cui, Chenyu Tang, et al.
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Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
Current Opinion in Structural Biology
|
November 22, 2025
Recent advances in artificial intelligence-driven biomolecular dynamics simulations based on machine learning force fields
Taoyong Cui, Yutao Zhou, Tong Wang
Scientific Data
|
December 4, 2025
A Large Scale Molecular Hessian Database for Optimizing Reactive Machine Learning Interatomic Potentials
Taoyong Cui, Yonghong Han, Haojun Jia, et al.
Genome Biology
|
May 2, 2026
EvoRMD: integrating biological context and evolutionary RNA language models for interpretable prediction of RNA modifications
Bo Wang, Hao Zhang, Taoyong Cui, et al.
Nature Communications
|
February 22, 2025
Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
July 13, 2025
Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models
Qiyuan Zhao, Yunhong Han, Duo Zhang, et al.
Nature Communications
|
December 20, 2025
Evidential deep learning for interatomic potentials
Han Xu, Taoyong Cui, Chenyu Tang, et al.
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of 1