| dc.contributor.advisor | Baláž, Pavel | |
| dc.creator | Archemashvili, Elguja | |
| dc.date.accessioned | 2025-06-30T07:39:45Z | |
| dc.date.available | 2025-06-30T07:39:45Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/199646 | |
| dc.language | English | cs_CZ |
| dc.language.iso | en_US | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.subject | machine learning|Falikov Kimball model|Statistical Physics|Unsupervised Learning | en_US |
| dc.subject | strojové učení|model Falikova Kimballu|Statistická fyzika|Neupravené učení | cs_CZ |
| dc.title | Construction of phase diagrams of spin models using unsupervised machine learning | en_US |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2025 | |
| dcterms.dateAccepted | 2025-06-09 | |
| dc.description.department | Department of Condensed Matter Physics | en_US |
| dc.description.department | Katedra fyziky kondenzovaných látek | cs_CZ |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.identifier.repId | 267820 | |
| dc.title.translated | Konstrukce fázových diagramů spinových modelů pomocí strojového učení bez dozoru | cs_CZ |
| dc.contributor.referee | Mrázová, Iveta | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | navazující magisterské | cs_CZ |
| thesis.degree.discipline | Computer Science - Artificial Intelligence | cs_CZ |
| thesis.degree.discipline | Computer Science - Artificial Intelligence | en_US |
| thesis.degree.program | Computer Science - Artificial Intelligence | cs_CZ |
| thesis.degree.program | Computer Science - Artificial Intelligence | en_US |
| uk.thesis.type | diplomová práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra fyziky kondenzovaných látek | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Condensed Matter Physics | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Computer Science - Artificial Intelligence | cs_CZ |
| uk.degree-discipline.en | Computer Science - Artificial Intelligence | en_US |
| uk.degree-program.cs | Computer Science - Artificial Intelligence | cs_CZ |
| uk.degree-program.en | Computer Science - Artificial Intelligence | en_US |
| thesis.grade.cs | Velmi dobře | cs_CZ |
| thesis.grade.en | Very good | en_US |
| uk.file-availability | V | |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra fyziky kondenzovaných látek | cs_CZ |
| thesis.grade.code | 2 | |
| dc.contributor.consultant | Žonda, Martin | |
| dc.contributor.consultant | Pilát, Martin | |
| uk.publication-place | Praha | cs_CZ |
| uk.thesis.defenceStatus | O | |
