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Anders Johansson

12 papers hereh-index 6340 citations14 works total

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

author position
  • middle author11

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci6
  • physics.comp-ph3
  • physics.chem-ph2
  • cond-mat.other1
same name
  • Anders Johansson — 19 papers, h 30
  • Anders Johansson — 8 papers, h 7
  • Anders Johansson — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA practical guide to machine learning interatomic potentials -- Status and future

203 citations · 229 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.comp-ph2025

Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices

Taufeq Mohammed Razakh, Thomas Linker, Ye Luo +12

Light-matter dynamics in topological quantum materials enables ultralow-power, ultrafast devices. A challenge is simulating multiple field and particle equations for light, electro…

physics.comp-ph2025★ 11 cited

High-performance training and inference for deep equivariant interatomic potentials

Chuin Wei Tan, Marc L. Descoteaux, Mit Kotak +11

Machine learning interatomic potentials, particularly those based on deep equivariant neural networks, have demonstrated state-of-the-art accuracy and computational efficiency in a…

cond-mat.mtrl-sci2025★ 203 cited

A practical guide to machine learning interatomic potentials -- Status and future

Ryan Jacobs, Dane Morgan, Siamak Attarian +27

The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not exper…

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