4 papers
Generative Deep Learning for the Two-Dimensional Quantum Rotor Model
Yanyang Wang, Feng Gao, Kui Tuo +1
The advancement of diverse generative deep learning models and their variants has furnished substantial insights for investigating quantum many-body problems. In this work, we desi…
Supervised and unsupervised learning with numerical computation for the Wolfram cellular automata
Kui Tuo, Shengfeng Deng, Yuxiang Yang +4
The local rules of Wolfram cellular automata with one-dimensional three-cell neighborhoods are represented by eight-bit binary that encode deterministic update rules. These automat…
Machine learning of (1+1)-dimensional directed percolation based on raw and shuffled configurations
Shen Jianmin, Wang Shanshan, Li Wei +6
Machine learning (ML) can process large sets of data generated from complex systems, which is ideal for classification tasks as often appeared in critical phenomena. Meanwhile ML t…
Supervised, semi-supervised, and unsupervised learning of the Domany-Kinzel model
Kui Tuo, Wei Li, Shengfeng Deng +1
The Domany Kinzel (DK) model encompasses several types of non-equilibrium phase transitions, depending on the selected parameters. We apply supervised, semi-supervised, and unsuper…