Investigating quantitative genotoxicity indicators by DFT analysis of TiO2 surface

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 18 May 2023 (18th Edition).

Poster Title: "Investigating quantitative genotoxicity indicators by DFT analysis of TiO2 surface".

DFTB+, 20.2.1

VASP, vasp.5.4.4.18Apr17-6-g9f103f2a35

MatLab, 2023b

Identifier
DOI https://doi.org/10.34810/data1236
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/data1236
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 ; Generalitat de Catalunya (ES) 2021SGR-00111 ; GENCI-CINES/IDRIS 2023- x2023082131
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 8076482; 95862; 6783
Version 1.0
Discipline Chemistry; Natural Sciences