Statistical transmutation in doped quantum dimer models
Lamas, C A, Ralko, A, Cabra, D C, Poilblanc, D, Pujol, P
Published in Physical review letters (03.07.2012)
Published in Physical review letters (03.07.2012)
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A jaboticaba extract prevents prostatic damage associated with aging and high-fat diet intake
Lamas, C A, Kido, L A, Montico, F, Collares-Buzato, C B, Maróstica, Junior, M R, Cagnon, V H A
Published in Food & function (26.02.2020)
Published in Food & function (26.02.2020)
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Current jumps in flat band ladders with Dzyaloshinskii-Moriya interactions
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Exploring neural network training strategies to determine phase transitions in frustrated magnetic models
Corte, I., Acevedo, S., Arlego, M., Lamas, C.A.
Published in Computational materials science (01.10.2021)
Published in Computational materials science (01.10.2021)
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Inducing critical phenomena in spin chains through sparse alternating fields
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Journal Article
Magnetization process in a frustrated plaquette dimerized ladder
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Minimalist neural networks training for phase classification in diluted Ising models
Pavioni, G.L. Garcia, Arlego, M., Lamas, C.A.
Published in Computational materials science (15.02.2024)
Published in Computational materials science (15.02.2024)
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Optimizing configurations for determining the magnetic model based on ab-initio calculations
Matera, J M, Lamas, C A, Errico, L A, Gil Rebaza, A V, Fernández, V I
Published in arXiv.org (08.07.2019)
Published in arXiv.org (08.07.2019)
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Nutritive value of protein from sea urchin, and its effects on intestinal leucine aminopeptidase and intestinal and hepatic gamma-glutamyltranspeptidase
González, B. Caride, A. Lamas, C. Taboada, M.
Published in International journal of food sciences and nutrition (2001)
Published in International journal of food sciences and nutrition (2001)
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Optimizing configurations for determining the magnetic model based on ab initio calculations
Matera, J.M., Errico, L.A., Gil Rebaza, A.V., Fernandez, V.I., Lamas, C.A.
Published in Computational materials science (01.06.2020)
Published in Computational materials science (01.06.2020)
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