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Paul L. Houston — most-cited papers & profile · AI for Science
← authors
·
overview
Paul L. Houston
6
papers ·
2
citations ·
55
h-index
University of California, Santa Cruz · Cornell University
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Most-cited papers
Extending the atomic decomposition and many-body representation, a chemistry-motivated monomer-centered approach for machine learning potentials
2024 · 1 citations
The quantum nature of ubiquitous vibrational features revealed for ethylene glycol
2025 · 1 citations
"Gold-Standard" $Δ$-Machine Learned and Transferable Potential for Linear Alkanes
2025
$Δ$-Machine Learning to Elevate DFT-based Potentials and a Force Field to the CCSD(T) Level Illustrated for Ethanol
2024
Permutationally invariant polynomial regression for energies and gradients, using reverse differentiation, achieves orders of magnitude speed-up with high precision compared to other machine learning methods
2021
No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials
2024
Top co-authors
Apurba Nandi
· 6
Riccardo Conte
· 6
Chen Qu
· 5
and Joel M. Bowman
· 4
Priyanka Pandey
· 4
Qi Yu
· 3
Joel M. Bowman
· 2
Qi Yu
· 2
Alexandre Tkatchenko
· 1
Chen Qu
· 1
Dong H. Zhang
· 1
Qi Yu
· 1
Topics
Chemistry
Physics ML
Materials
Drug Discovery