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TITLE:
Structural NanoFingerprint Generation - TFM:1631
Handle: https://hdl.handle.net/20.500.11797/TFM1631

Student:Munté Guerrero, Nil
Language:en
Title in original language:Structural NanoFingerprint Generation
Keywords:Nanoparticle, Structural NanoFingerprint, XYZ file format, Subgraph search, Local Structure, Regression model
Subject:Enginyeria informàtica
Abstract:This Master Thesis is focused on the study and generation of Structural NanoFingerprints, representations of metal-oxide nanoparticles based on the local information of their three-dimensional structure. Firstly, it is described their structure. Then, the algorithm implemented in C-language to correctly generate them is described, and tested using a correctness checking algorithm, as well as the study of the computational time of the code and its parts to determine which are the most consuming sections. Finally, the artificial generation of Structural NanoFingerprints is described using Linear and Non-Linear (Multiple) Regression with MATLAB, in which different models are presented.
Project director:Serratosa Casanelles, Francesc
Department:Enginyeria Informàtica i Matemàtiques
Education area(s):Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial
Entity:Universitat Rovira i Virgili (URV)
Work's public defense date:2023-06-15
Academic year:2022-2023
Confidenciality:No
Subject areas:Computer engineering
APS:No
Creation date in repository:2024-04-09
Access Rights:info:eu-repo/semantics/openAccess
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