45 YEARS OF THEORY AT ICIMAF: FROM FIELDS TO STRINGS.
With this work, we celebrate the 45th anniversary of the Theoretical Physics Group (GFT) of ICIMAF in two aspects: historical and scientific. The article is based in the talk given at the conference FT-45. Anecdotes of the group's influence on the author's development are presented, and the impact t...
| Publicado en: | Revista Cubana de Física Vol. 41; no. 1; pp. 69 - 74 |
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| Autor principal: | |
| Formato: | Artículo |
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Universidad de La Habana
7/15/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=lth&AN=178803030&site=ehost-live header: @attributes: shortDbName: lth uiTerm: 178803030 longDbName: MedicLatina uiTag: AN controlInfo: bkinfo: jinfo: jid: 02539268 UEW jtl: Revista Cubana de Física issn: 02539268 maglogo: N pubinfo: dt: 7/15/2024 vid: 41 iid: 1 pid: 21208 pub: Universidad de La Habana artinfo: ui: 178803030 ppf: 69 ppct: 5 formats: fmt: @attributes: type: P size: 2MB tig: atl: 45 YEARS OF THEORY AT ICIMAF: FROM FIELDS TO STRINGS. aug: au: CABO-BIZET, N. affil: División de Ciencias e Ingenierías, Universidad de Guanajuato, Loma del Bosque 103, 37160, Leon, Guanajuato, Mexico su: Quantum gravity Quantum theory Genetic algorithms Machine learning Model theory sug: subj: Quantum gravity Quantum theory Genetic algorithms Machine learning Model theory ab: With this work, we celebrate the 45th anniversary of the Theoretical Physics Group (GFT) of ICIMAF in two aspects: historical and scientific. The article is based in the talk given at the conference FT-45. Anecdotes of the group's influence on the author's development are presented, and the impact the group has had on the Cuban community is described. A research direction, inheriting the group's work, is presented by reviewing recent advances in the study of the landscape of effective theories derived from string theory. The exploration of string theory vacua in extra toroidal dimensions and with fluxes, using Machine Learning is described [1]. This method consists of a neural network coupled with a genetic algorithm. Additionally, the constraints on quantum gravity theories in this model are explored. In particular, the well-studied conjecture that stable de Sitter (dS) vacua do not appear in effective theories consistent with gravity is addressed. We conclude by mentioning an avenue for exploring the landscape, related to the GFT's tradition. Con este trabajo celebramos los 45 años del Grupo de Física Teorica (GFT) del ICIMAF en dos aristas: histórica y científica. Este art'culo se basa en la charla impartida en el evento FT-45 por la autora. Se presentan aneí cdotas de la influencia del grupo en la formacioí n de la autora y se describe el impacto del GFT en la comunidad cubana trabajando en temas relacionados a la teoría cuaí ntica de campos y a la gravitacioí n. Se presenta una direccioí n de investigacioí n, heredera de la labor del grupo, revisando recientes avances en el estudio del paisaje de teorías efectivas provenientes de la teoría de cuerdas. Se describe la exploracion de vacíos de la teoría de cuerdas en dimensiones extras toroidales y con flujos, empleando Aprendizaje de Maí quina. Este meí todo consiste en una red neuronal acoplada a un algoritmo geneí tico [1]. Ademaís, se exploran las restricciones a las teorías de gravedad cuántica en este modelo. En particular, se aborda aquella, muy estudiada, que implica que no aparecen vacíos de Sitter (dS) estables en teorías efectivas consistentes con gravedad. Concluimos mencionando una vía futura de exploracion del paisaje, relacionada a la tradicion del GFT. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Revista Cubana de Física is the property of Universidad de La Habana and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Revista Cubana de Física holder: Universidad de La Habana dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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