rMD17 ...

A dataset of 10 molecules (aspirin, azobenzene, benzene, ethanol, malonaldehyde, naphthalene, paracetamol, salicylic, toluene, uracil) with 100,000 structures calculated for each at the PBE/def2-SVP level of theory using ORCA. Based on the MD17 dataset, but with refined measurements. ...

Bibliographic Details
Main Authors: Christensen, Anders S., O. Anatole Von Lilienfeld
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/10.60732/682fe04a
https://materials.colabfit.org/id/DS_8rafgy0ly6bt_0
Description
Summary:A dataset of 10 molecules (aspirin, azobenzene, benzene, ethanol, malonaldehyde, naphthalene, paracetamol, salicylic, toluene, uracil) with 100,000 structures calculated for each at the PBE/def2-SVP level of theory using ORCA. Based on the MD17 dataset, but with refined measurements. ...

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