Nebgen Benjamin T - Theoretical Division, Los Alamos National Laboratory

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论文共 64 篇作者统计合作学者相似作者

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Teacher-student Training Improves Accuracy and Efficiency of Machine Learning Interatomic Potentials

Sakib Matin,Alice E. A. Allen, Emily Shinkle,Aleksandra Pachalieva,Galen T. Craven,Benjamin Nebgen,Justin S. Smith,Richard Messerly, Ying Wai Li,Sergei Tretiak, Kipton Barros,Nicholas Lubbers

arxiv（2025）

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Improving Bond Dissociations of Reactive Machine Learning Potentials Through Physics-Constrained Data Augmentation

Luan G. F. dos Santos,Benjamin T. Nebgen,Alice E. A. Allen,Brenden W. Hamilton,Sakib Matin, Justin S. Smith,Richard A. Messerly

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2025)

引用0浏览0WOSEI引用

Shadow Molecular Dynamics with a Machine Learned Flexible Charge Potential

Cheng-Han Li, Mehmet Cagri Kaymak,Maksim Kulichenko,Nicholas Lubbers,Benjamin T Nebgen,Sergei Tretiak,Joshua Finkelstein,Daniel P Tabor,Anders M N Niklasson

Journal of chemical theory and computationno. 7 (2025): 3658-3675

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Multi-fidelity Learning for Interatomic Potentials: Low-level Forces and High-Level Energies Are All You Need

Mitchell Messerly,Sakib Matin,Alice E. A. Allen,Benjamin Nebgen,Kipton Barros, Justin S. Smith,Nicholas Lubbers, Richard Messerly

arxiv（2025）

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Challenges and Opportunities for Machine Learning Potentials in Transition Path Sampling: Alanine Dipeptide and Azobenzene Studies

Nikita Fedik, Wei Li,Nicholas Lubbers,Benjamin Nebgen,Sergei Tretiak,Ying Wai Li

crossref（2024）

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Data Generation for Machine Learning Interatomic Potentials and Beyond

Maksim Kulichenko,Benjamin Nebgen,Nicholas Lubbers,Justin S Smith,Kipton Barros,Alice E A Allen,Adela Habib, Emily Shinkle,Nikita Fedik,Ying Wai Li,Richard A Messerly,Sergei Tretiak

Chemical reviews（2024）

引用2浏览0WOS引用

Exploring the Frontiers of Condensed-Phase Chemistry with a General Reactive Machine Learning Potential

Shuhao Zhang,Małgorzata Z. Makoś,Ryan B. Jadrich,Elfi Kraka,Kipton Barros,Benjamin T. Nebgen,Sergei Tretiak,Olexandr Isayev,Nicholas Lubbers,Richard A. Messerly,Justin S. Smith

NATURE CHEMISTRY（2024）

引用5浏览0WOSNATURE引用

Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to Experiment

Sakib Matin,Alice E. A. Allen,Justin Smith,Nicholas Lubbers,Ryan B. Jadrich,Richard Messerly,Benjamin Nebgen,Ying Wai Li,Sergei Tretiak,Kipton Barros

Journal of Chemical Theory and Computationno. 3 (2024): 1274-1281

引用6浏览0WOS引用

Configurational Integrals Solved by Tensorization

Boian Alexandrov,Duc Truong,Benjamin Nebgen,Derek DeSantis

crossref（2024）

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Machine Learning Models Capture Plasmon Dynamics in Ag Nanoparticles

Adela Habib,Benjamin Nebgen,Sergei Tretiak,Nicholas Lubbers

JOURNAL OF PHYSICAL CHEMISTRY A（2023）

引用3浏览0WOS引用

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