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cond-mat.stat-mech2026
Detecting the 3D Ising model phase transition with a ground-state-trained autoencoder
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
We develop a one-class, deep-learning framework to detect the phase transition and recover critical behavior of the 3D Ising model. A 3D convolutional neural network autoencoder (C…
cond-mat.stat-mech2025★ 5 cited
Deep learning of phase transitions with minimal examples
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
Over the past several years, there have been many studies demonstrating the ability of deep neural networks to identify phase transitions in many physical systems, notably in class…