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Eric Qu — most-cited papers & profile · AI for Science
← authors
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overview
Eric Qu
4
papers ·
10
citations ·
3
h-index
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Most-cited papers
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
2024 · 5 citations
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
2026 · 2 citations
Transformers Discover Molecular Structure Without Graph Priors
2025 · 2 citations
From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures
2026 · 1 citations
Top co-authors
Aditi S. Krishnapriyan
· 4
Tobias Kreiman
· 2
Brandon M. Wood
· 1
Elizabeth Weaver
· 1
Fadi Atieh
· 1
Ryan Liu
· 1
Samuel M. Blau
· 1
Yutong Bai
· 1
Zachary W. Ulissi
· 1
Topics
Chemistry
Materials
Drug Discovery
Physics ML