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researcher

M. Tuckerman

21 papers hereh-index 7529.6k citations297 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author13

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph7
  • cond-mat.mtrl-sci5
  • physics.comp-ph3
  • cond-mat.stat-mech2
  • cs.LG2
  • cond-mat.dis-nn1

identity via Semantic Scholar / OpenAlex

activity
20012026
most citedBy-passing the Kohn-Sham equations with machine learning

729 citations · 1.3k across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

physics.chem-ph2024★ 33 cited

On the design space between molecular mechanics and machine learning force fields

Yuanqing Wang, Kenichiro Takaba, Michael S. Chen +14

A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully e…

cond-mat.mtrl-sci2024

Machine learning classification of local environments in molecular crystals

Daisuke Kuroshima, Michael Kilgour, Mark E. Tuckerman +1

Identifying local structural motifs and packing patterns of molecular solids is a challenging task for both simulation and experiment. We demonstrate two novel approaches to charac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.