3 papers
cond-mat.stat-mech2026
Unsupervised Machine Learning of the Contact Process
L. T. Brito, G. A. Alves, F. W. S. Lima +3
We investigate how unsupervised machine-learning methods can characterize the active-absorbing phase transition in the contact process in one and two spatial dimensions. Our analys…
cond-mat.stat-mech2025
Deep Learning of the Biswas-Chatterjee-Sen Model
J. F. Silva Neto, D. S. M. Alencar, L. T. Brito +5
We investigate the critical properties of kinetic continuous opinion dynamics using deep learning techniques. The system consists of continuous spin variables in the interval $…
cond-mat.stat-mech2025
Supervised and Unsupervised Deep Learning Applied to the Majority Vote Model
J. F. Silva Neto, D. S. M. Alencar, L. T. Brito +5
We employ deep learning techniques to investigate the critical properties of the continuous phase transition in the majority vote model. In addition to deep learning, principal com…