187 citations
- Montanuniversität LeobenAT10 papers
- KTH Royal Institute of TechnologySE8 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Graz University of TechnologyAT5 papers
- Centre de Physique ThéoriqueFR4 papers
- École PolytechniqueFR4 papers
- Skolkovo Institute of Science and TechnologyRU4 papers
- University of GenevaCH4 papers
- Collège de FranceFR3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ3 papers
- Nawi GrazAT3 papers
Showing 2023 · physics.comp-phShow all
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physics.comp-ph2023★ 8 cited
Automated atomistic simulations of dissociated dislocations with ab initio accuracy
Laura Mismetti, Max Hodapp
In (M Hodapp and A Shapeev 2020 Mach. Learn.: Sci. Technol. 1 045005), we have proposed an algorithm that fully automatically trains machine-learning interatomic potentials (MLIPs)…
physics.comp-ph2023★ 5 cited
Equivariant Tensor Network Potentials
Max Hodapp, Alexander Shapeev
Machine-learning interatomic potentials (MLIPs) have made a significant contribution to the recent progress in the fields of computational materials and chemistry due to the MLIPs'…