mbGDML_maldonado_2023 ...

Configurations of water, acetonitrile and methanol, simulated with ASE and modeled using a variety of software and methods: GAP, SchNet, GDML, ORCA and mbGDML. Forces and potential energy included; metadata includes kinetic energy and velocities. ...

Bibliographic Details
Main Author: Maldonado, Alex M.
Format: Dataset
Language:English
Published: ColabFit 2023
Subjects:
ColabFit
Dataset
AgPd_NPJ_2021
Materials Science
https//id.loc.gov/authorities/subjects/sh85082094.html
Machine Learning
https//id.loc.gov/authorities/subjects/sh85079324.html
Techniques/Computational Techniques/First-principles calculations
Techniques/Computational Techniques/Machine Learning
Techniques/Computational Techniques/Molecular Dynamics
Research Areas/Atomic & molecular structure/Potential energy surfaces
Research Areas/Electronic structure/Interatomic & molecular potentials
Orca
Online Access:https://dx.doi.org/10.60732/717087e2
https://materials.colabfit.org/id/DS_e94my2wrh074_0
Description
Summary:Configurations of water, acetonitrile and methanol, simulated with ASE and modeled using a variety of software and methods: GAP, SchNet, GDML, ORCA and mbGDML. Forces and potential energy included; metadata includes kinetic energy and velocities. ...

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