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http://hdl.handle.net/2445/188725
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DC Field | Value | Language |
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dc.contributor.advisor | Mathieu, Vincent | - |
dc.contributor.advisor | Rios Huguet, Arnau | - |
dc.contributor.author | Janer Serramià, Marc | - |
dc.date.accessioned | 2022-09-06T11:21:31Z | - |
dc.date.available | 2022-09-06T11:21:31Z | - |
dc.date.issued | 2022-06 | - |
dc.identifier.uri | http://hdl.handle.net/2445/188725 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutors: Vincent Mathieu, Arnau Rios | ca |
dc.description.abstract | We study how a one-layer Artificial Neural Network performs when applied to a quantum three-body problem with a central potential. We use the harmonic oscillator as a benchmark to test how the neural network solution performs upon changing parameters. With the best combination of these, we managed to get the ground state energy with a relative error of 0.03 % with respect to the analytical one, and a wave function with an overlap of the 99.996 % with the analytical solution | ca |
dc.format.extent | 5 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Janer, 2022 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Problema dels tres cossos | cat |
dc.subject.classification | Xarxes neuronals (Informàtica) | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Three-body problem | eng |
dc.subject.other | Neural networks (Computer science) | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | A solution to the quantum mechanical three-body problem with neural networks | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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JANER SERRAMIÀ MARC_6057546_assignsubmission_file_TFG-Janer-Serramia-Marc.pdf | 1.36 MB | Adobe PDF | View/Open |
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