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Mark E. Tuckerman — most-cited papers & profile · AI for Science
← authors
·
overview
Mark E. Tuckerman
6
papers ·
69
citations ·
85
h-index
Courant Institute of Mathematical Sciences · New York University
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Most-cited papers
Machine Learning Electronic Structure Methods Based On The One-Electron Reduced Density Matrix
2023 · 47 citations
Efficient prediction of 3D electron densities using machine learning
2018 · 12 citations
Machine learning classification of local environments in molecular crystals
2024 · 6 citations
On the design space between molecular mechanics and machine learning force fields
2024 · 3 citations
MXtalTools: A Toolkit for Machine Learning on Molecular Crystals
2025 · 1 citations
Enhancing molecular dynamics with equivariant machine-learned densities
2026
Top co-authors
Jutta Rogal
· 2
Kieron Burke
· 2
Klaus-Robert M\"uller
· 2
Leslie Vogt-Maranto
· 2
Michael Kilgour
· 2
Mihail Bogojeski
· 2
Arnav Nagle
· 1
Daisuke Kuroshima
· 1
Daniel J. Cole
· 1
Felix Brockherde
· 1
Joe G. Greener
· 1
John Z. H. Zhang
· 1
Topics
Chemistry
Materials
Physics ML
Protein Science