Proposing genotoxicity related quantitative indicators by analyzing TiO2 surface computed on DFT framework

DOI

This dataset houses a research poster and its poster abstract.

The set of documents was first presented at the doctoral days organized by the Doctoral Committee of the Nanoscience, Materials and Chemical Engineering program at Escuela Técnica Superior de Ingeniería Química (ETSEQ) of Universitat Rovira i Virgili (URV) on 25 May 2022 (17th Edition).

Poster Title: "Proposing genotoxicity related quantitative indicators by analyzing TiO2 surface computed on DFT framework".

DFTB+, 20.2.1

VASP, vasp.5.4.4.18Apr17-6-g9f103f2a35

Identifier
DOI https://doi.org/10.34810/data1235
Related Identifier IsCitedBy https://doi.org/10.1088/1361-648X/ac7025
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1235
Provenance
Creator Çetin, Yarkın Aybars ORCID logo; Escorihuela, Laura ORCID logo; Martorell Masip, Benjamí ORCID logo; Calatayud, Monica ORCID logo; Serratosa, Francesc ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Çetin, Yarkın Aybars; Martorell Masip, Benjamí; Universitat Rovira i Virgili
Publication Year 2024
Funding Reference European Commission H2020-NMBP-14-2018-814426 ; GENCI-CINES/IDRIS 2020-x2020082131 ; GENCI-CINES/IDRIS 2021-x2021082131
Rights CC BY-NC 4.0; info:eu-repo/semantics/embargoedAcces; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact Çetin, Yarkın Aybars (Universitat Rovira i Virgili); Martorell Masip, Benjamí (Universitat Rovira i Virgili)
Representation
Resource Type Experimental data; Dataset
Format application/pdf; text/plain
Size 56830; 4178436; 6711
Version 1.0
Discipline Chemistry; Natural Sciences