Non-Adiabatic Direct Quantum Dynamics using Force Fields: Towards Solvation

DOI

Data supporting the calculations in the paper. These include the input and output files for the Quantics program to run vMCG and ML-MCTDH simulations of a uracil vibronic coupling model, as well as the input, output and database files for DD-vMCG simulations using force-field potentials. These files can be used together with Quantics to generate the data in the paper Cigrang et al (JCP, 160: 174120, 2024). The data files are standard ascii files, grouped into directories for the different models and approximations studied. The databases with the points calculated during the direct dynamics simulations are SQLite format with tables for geometries, energies, gradients etc. More details are in the paper. The Quantics program is a mostly Fortran code for running quantum dynamics simulations. It is open source and runs on linux workstations. It is freely available on request to the authors of the paper. For further details of the program see Comp. Phys. Comm., 248:107040–15, 2020.

Identifier
DOI https://doi.org/10.5522/04/25236955.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/46096242
Related Identifier HasPart https://ndownloader.figshare.com/files/46096245
Related Identifier HasPart https://ndownloader.figshare.com/files/46096248
Related Identifier HasPart https://ndownloader.figshare.com/files/46096251
Related Identifier IsCitedBy https://doi.org/10.1063/5.0204911
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/25236955
Provenance
Creator Cigrang, Léon; Green, James; Gomez, Sandra ORCID logo; Cerezo, Javier ORCID logo; Improta, Roberto (ORCID: 0000-0003-1004-195x); Prampolini, Giacomo ORCID logo; Santoro, Fabrizio; Worth, Graham
Publisher University College London UCL
Contributor Figshare
Publication Year 2024
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Chemistry; Natural Sciences