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Melika Honarmand

4 papers hereh-index 231 citations6 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.LG1
  • physics.chem-ph1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedFast and flexible long-range models for atomistic machine learning

23 citations · 23 across the 4 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

1 paper · 1 filter

physics.chem-ph2024★ 23 cited

Fast and flexible long-range models for atomistic machine learning

Philip Loche, Kevin K. Huguenin-Dumittan, Melika Honarmand +5

Most atomistic machine learning (ML) models rely on a locality ansatz, and decompose the energy into a sum of short-ranged, atom-centered contributions. This leads to clear limitat…

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