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

9 papers

cond-mat.dis-nn2026

The dimensionality of the Hopfield model

Cristopher Erazo, Santiago Acevedo, Alessandro Ingrosso

We use the Binary Intrinsic Dimension (BID), a geometrical measure designed for binary data, to analyze the Hopfield model, a paradigmatic spin system from statistical mechanics, m…

cond-mat.stat-mech2025★ 1 cited

Family-Vicsek universality of the binary intrinsic dimension of nonequilibrium data

Roberto Verdel, Devendra Singh Bhakuni, Santiago Acevedo

The intrinsic dimension (ID) is a powerful tool to detect and quantify correlations from data. Recently, it has been successfully applied to study statistical and many-body systems…

cond-mat.dis-nn2022

On the neural network flow of spin configurations

Santiago Acevedo, Carlos A. Lamas, Alejo Costa Duran +2

We study the so-called neural network flow of spin configurations in the 2-d Ising ferromagnet. This flow is generated by successive reconstructions of spin configurations, obtaine…

cond-mat.str-el2021★ 5 cited

An effective field theory approach for the 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 BiMnO(NO). 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 antiferromagnetic Ising model on the honeycomb lattice. We construct the phase diagram o…

cond-mat.str-el2020★ 4 cited

Current jumps in flat band ladders with Dzyaloshinskii-Moriya interactions

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

Localized magnons states, due to flat bands in the spectrum, is an intensely studied phenomenon and can be found in many frustrated magnets of different spatial dimensionality. The…