S. Acevedo

activity

20172026

most citedExploring neural network training strategies to determine phase transitions in frustrated magnetic models

38 citations · 104 across the 9 of their papers we have counts for

collaborators

Showing 2021Show all

2 papers · 1 filter

cond-mat.str-el2021★ 5 cited

An effective field theory approach for the $S = 3/2$ bilayer honeycomb antiferromagnet

S. Acevedo, C. A. Lamas, P. Pujol

The spin-3/2 Heisenberg antiferromagnet on the bilayer honeycomb lattice is a minimal model to describe the magnetic behavior of Bi $_{3}$ Mn $_{4}$ O $_{12}$ (NO $_{3}$ ). We study this model w…

cond-mat.str-el2021★ 38 cited

Phase diagram study of a two-dimensional frustrated antiferromagnet via unsupervised machine learning

S. Acevedo, M. Arlego, C. A. Lamas

We apply unsupervised learning techniques to classify the different phases of the $J_{1} - J_{2}$ antiferromagnetic Ising model on the honeycomb lattice. We construct the phase diagram o…

An effective field theory approach for the S=3/2 bilayer honeycomb antiferromagnet

Phase diagram study of a two-dimensional frustrated antiferromagnet via unsupervised machine learning

An effective field theory approach for the $S = 3/2$ bilayer honeycomb antiferromagnet