View in EDS

Finding discrete symmetry groups via machine learning.

Saved in:

Bibliographic Details
Title:	Finding discrete symmetry groups via machine learning.
Authors:	Calvo-Barlés P; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain., Rodrigo SG; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física Aplicada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain., Sánchez-Burillo E; PredictLand S.L., Zaragoza 50001, Spain., Martín-Moreno L; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.
Source:	Physical review. E [Phys Rev E] 2024 Oct; Vol. 110 (4-2), pp. 045304.
Publication Type:	Journal Article
Journal Info:	Publisher: American Physical Society Country of Publication: United States NLM ID: 101676019 Publication Model: Print Cited Medium: Internet ISSN: 2470-0053 (Electronic) Linking ISSN: 24700045 NLM ISO Abbreviation: Phys Rev E Subsets: MEDLINE; PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2470-0053
DOI:	10.1103/PhysRevE.110.045304