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researcher

A. Kabylda

7 papers hereh-index 9436 citations15 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph6
  • physics.soc-ph1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedTowards Linearly Scaling and Chemically Accurate Global Machine Learning Force Fields for Large Molecules

41 citations · 67 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

physics.chem-ph2024★ 16 cited

Analyzing Atomic Interactions in Molecules as Learned by Neural Networks

Malte Esders, Thomas Schnake, Jonas Lederer +4

While machine learning (ML) models have been able to achieve unprecedented accuracies across various prediction tasks in quantum chemistry, it is now apparent that accuracy on a te…

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