Chemical Shifts in Molecular Solids by Machine Learning Datasets

We present a database of energy and NMR chemical shifts DFT calculations of 4150 crystal organic solids. The structures contain only H/C/N/O/S atoms and were subject to all-atoms geometry optimisation. Calculations were carried out using Quantum Espresso and GIPAW.

Identifier
Source https://archive.materialscloud.org/record/2019.0023/v2
Metadata Access https://archive.materialscloud.org/xml?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:materialscloud.org:138
Provenance
Creator Ceriotti, Michele; Emsley, Lyndon; Paruzzo, Federico; Hofstetter, Albert; Musil, Félix; De, Sandip; Engel, Edgar A.; Anelli, Andrea
Publisher Materials Cloud
Publication Year 2019
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact archive(at)materialscloud.org
Representation
Language English
Resource Type Dataset
Discipline Materials Science and Engineering