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researcher

N. Lubbers

39 papers hereh-index 315.3k citations99 works total

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

author position
  • first author3
  • middle author30
  • last author6

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph10
  • physics.comp-ph8
  • cs.LG3
  • physics.geo-ph3
  • cond-mat.mtrl-sci2
  • cond-mat.stat-mech2

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedLess is more: sampling chemical space with active learning

872 citations · 2.9k across the 35 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cond-mat.dis-nn2019★ 39 cited

Machine Learned Hückel Theory: Interfacing Physics and Deep Neural Networks

Tetiana Zubatyuk, Ben Nebgen, Nicholas Lubbers +7

The Hückel Hamiltonian is an incredibly simple tight-binding model famed for its ability to capture qualitative physics phenomena arising from electron interactions in molecules an…

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