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Thomas Plé

10 papers hereh-index 11235 citations17 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph8
  • physics.comp-ph2

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedScalable Hybrid Deep Neural Networks/Polarizable Potentials Biomolecular Simulations including long-range effects

47 citations · 194 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

physics.chem-ph2023★ 46 cited

Force-Field-Enhanced Neural Network Interactions: from Local Equivariant Embedding to Atom-in-Molecule properties and long-range effects

Thomas Plé, Louis Lagardère, Jean-Philip Piquemal

We introduce FENNIX (Force-Field-Enhanced Neural Network InteraXions), a hybrid approach between machine-learning and force-fields. We leverage state-of-the-art equivariant neural…

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