347 citations
- Argonne National LaboratoryUS1 paper
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Beijing Jiaotong UniversityCN1 paper
- Brookhaven CollegeUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- College of the SiskiyousUS1 paper
- Czech Academy of Sciences, Astronomical InstituteCZ1 paper
- ESI Group (France)FR1 paper
- Fermi National Accelerator LaboratoryUS1 paper
- Google (United States)US1 paper
- IHS Markit (United States)US1 paper
- Institut de Mathématiques de BordeauxFR1 paper
Showing 2021Show all
2 papers · 1 filter
eess.SY2021
A fast co-simulation approach to vehicle/track interaction with finite element models of S&C
Demeng Fan, Michel Sebès, Emmanuel Bourgeois +2
Simulations of vehicle/track interaction (VTI) in switches and crossings (S\&C) require taking into account the complexity of their geometry. The VTI can be handled via a co-simula…
physics.chem-ph2021★ 347 cited
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke, Stefan Chmiela, Michael Gastegger +3
Machine-learned force fields (ML-FFs) combine the accuracy of ab initio methods with the efficiency of conventional force fields. However, current ML-FFs typically ignore electroni…