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Benjamin Nebgen — most-cited papers & profile · AI for Science
← authors
·
overview
Benjamin Nebgen
6
papers ·
12
citations ·
25
h-index
Los Alamos National Laboratory
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Semi-Empirical Shadow Molecular Dynamics: A PyTorch implementation
2023 · 8 citations
Multi-fidelity learning for interatomic potentials: Low-level forces and high-level energies are all you need
2025 · 2 citations
Reactive Chemistry at Unrestricted Coupled Cluster Level: High-throughput Calculations for Training Machine Learning Potentials
2025 · 1 citations
Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials
2025 · 1 citations
Using Machine Learning Hamiltonians To Compute Molecular Motor Barrier Heights
2022
Lightweight and Effective Tensor Sensitivity for Atomistic Neural Networks
2022
Top co-authors
Nicholas Lubbers
· 5
Kipton Barros
· 4
Justin S. Smith
· 3
Richard Messerly
· 3
Sakib Matin
· 3
Sergei Tretiak
· 3
Alice E. A. Allen
· 2
Guoqing Zhou
· 2
Aaron Philip
· 1
Aleksandra Pachalieva
· 1
Alice E. A. Allen
· 1
Anders M. N. Niklasson
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery