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cond-mat.stat-mech2022
Machine learning of percolation models using graph convolutional neural networks
Hua Tian, Lirong Zhang, Youjin Deng +1
Percolation is an important topic in climate, physics, materials science, epidemiology, finance, and so on. Prediction of percolation thresholds with machine learning methods remai…
cond-mat.stat-mech2022
Snake net and balloon force with a neural network for detecting multiple phases
Xiaodong Sun, Huijiong Yang, Nan Wu +3
Unsupervised machine learning applied to the study of phase transitions is an ongoing and interesting research direction. The active contour model, also called the snake model, was…