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researcher

Patrick G. Sahrmann

6 papers hereh-index 7184 citations15 works total

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

author position
  • first author4
  • middle author2

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

fields
  • physics.chem-ph6

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedCoarse-Graining with Equivariant Neural Networks: A Path Towards Accurate and Data-Efficient Models

2 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

physics.chem-ph2023★ 2 cited

Coarse-Graining with Equivariant Neural Networks: A Path Towards Accurate and Data-Efficient Models

Timothy D. Loose, Patrick G. Sahrmann, Thomas S. Qu +1

Machine learning has recently entered into the mainstream of coarse-grained (CG) molecular modeling and simulation. While a variety of methods for incorporating deep learning into…

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