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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 2018 · physics.comp-phShow all

1 paper · 2 filters

physics.comp-ph2018★ 11 cited

Efficient prediction of 3D electron densities using machine learning

Mihail Bogojeski, Felix Brockherde, Leslie Vogt-Maranto +4

The Kohn-Sham scheme of density functional theory is one of the most widely used methods to solve electronic structure problems for a vast variety of atomistic systems across diffe…

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