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dc.contributor.advisorRayón Rico, Víctor Manuel es
dc.contributor.advisorHellström, Matti 
dc.contributor.authorDomínguez Calvo, Javier
dc.contributor.editorUniversidad de Valladolid. Facultad de Ciencias es
dc.date.accessioned2021-11-04T12:58:12Z
dc.date.available2021-11-04T12:58:12Z
dc.date.issued2021
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/49624
dc.description.abstractIn this part we try to study different DFT functionals and comparing with some reference data for some selected molecules. For that purpose, we are describing DFT, and different forms that exist of this theory and everything needed for the calculation. Then, the hardest task of this part was to build scripts that allow to automatize the whole process, and building a clever and relational database to store all relevant information. Finally, some calculations were performed using those scripts and where we compare several DFT functionals with published information.es
dc.description.sponsorshipDepartamento de Química Física y Química Inorgánicaes
dc.description.sponsorshipSCM Company, the Netherlandses
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationDFTes
dc.subject.classificationMachine learninges
dc.titleHigh dimensional neural network potentials: software development and application to nitrogen centered radicalses
dc.typeinfo:eu-repo/semantics/masterThesises
dc.description.degreeMáster en Química Teórica y Modelización Computacionales
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*


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