Machine Learning Prediction for Electronic Density of States in Guanine-TiO2 Adsorption Model

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 Rov...

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Detalles Bibliográficos
Autores: Çetin, Yarkin Aybars, Martorell Masip, Benjamí, Serratosa, Francesc
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::0d6a03658dea9fd3aa107cdcd0f4d195
Acceso en línea:https://doi.org/10.34810/DATA1237
Access Level:acceso abierto
Palabra clave:Chemistry
Other
Molecular Dynamics
Poster
Computational Chemistry
Titania
Guanine
Machine Learning
Descripción
Sumario: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 16 May 2024 (19th Edition). Poster Title: "Machine Learning Prediction for Electronic Density of States in Guanine-TiO2 Adsorption Model".