Cover Image

Identifying percolation phase transitions with unsupervised learning based on largest clusters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Dian, Wang, Shanshan, Deng, Weibing, Gao, Feng, Li, Wei, Shen, Jianmin
Format:	Preprint
Published:	2023
Subjects:	Statistical Mechanics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identifying Ising and percolation phase transitions based on KAN method
by: Xu, Dian, et al.
Published: (2025)

Neural network learning of multi-scale and discrete temporal features in directed percolation
by: Gao, Feng, et al.
Published: (2025)

The tricritical point of tricritical directed percolation is determined based on neural network
by: Gao, Feng, et al.
Published: (2024)

Supervised and unsupervised learning of directed percolation
by: Shen, Jianmin, et al.
Published: (2021)

Study of phase transition of Potts model with Domain Adversarial Neural Network
by: Chen, Xiangna, et al.
Published: (2022)

Applications of Domain Adversarial Neural Network in phase transition of 3D Potts model
by: Chen, Xiangna, et al.
Published: (2023)

Machine learning of pair-contact process with diffusion
by: Shen, Jianmin, et al.
Published: (2021)

Self-similar gap dynamics in percolation and rigidity percolation
by: Lu, Mingzhong, et al.
Published: (2024)

Cascade of phase transitions in the training of Energy-based models
by: Bachtis, Dimitrios, et al.
Published: (2024)

Emergence of biconnected clusters in explosive percolation
by: Yang, Liwenying, et al.
Published: (2024)

Quantum-data-driven dynamical transition in quantum learning
by: Zhang, Bingzhi, et al.
Published: (2024)

Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
by: Ramachandran, Sai Niranjan, et al.
Published: (2025)

A phase transition in sampling from Restricted Boltzmann Machines
by: Kwon, Youngwoo, et al.
Published: (2024)

Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models
by: Wang, Shanshan, et al.
Published: (2025)

Universality of percolation at dynamic pseudocritical point
by: Shi, Qiyuan, et al.
Published: (2025)

Efficient mapping of phase diagrams with conditional Boltzmann Generators
by: Schebek, Maximilian, et al.
Published: (2024)

The impact of memory on learning sequence-to-sequence tasks
by: Seif, Alireza, et al.
Published: (2022)

Unified framework for hybrid percolation transitions based on microscopic dynamics
by: Choi, Hoyun, et al.
Published: (2023)

Explosive percolation in finite dimensions
by: Li, Ming, et al.
Published: (2024)

Thermodynamic analysis of diverse percolation transitions
by: Moon, Seonghyeon, et al.
Published: (2025)

Large clusters in a correlated percolation model
by: Levi, Raz Halifa, et al.
Published: (2026)

Supervised and unsupervised learning of the many-body critical phase, phase transitions, and critical exponents in disordered quantum systems
by: Ahmed, Aamna, et al.
Published: (2025)

Metropolis Monte Carlo sampling: convergence, localization transition and optimality
by: Chepelianskii, Alexei D., et al.
Published: (2022)

A discontinuous percolation phase transition on the hierarchical lattice
by: Bäumler, Johannes, et al.
Published: (2025)

Machine learning for structure-property relationships: Scalability and limitations
by: Tian, Zhongzheng, et al.
Published: (2023)

Cross-feeding percolation phase transitions of inter-cellular metabolic networks
by: Latoski, Luís C. F., et al.
Published: (2024)

Minimal model of self-organized clusters with phase transitions in ecological communities
by: Li, Shing Yan, et al.
Published: (2025)

Equivalent-neighbor $k$-core percolation in two dimensions
by: Shi, Qiyuan, et al.
Published: (2026)

Efficient Identification of Critical Transitions via Flow Matching: A Scalable Generative Approach for Many-Body Systems
by: Lee, Qian-Rui, et al.
Published: (2025)

Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models
by: Zhang, Yifan F., et al.
Published: (2026)

Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
by: Máté, Bálint, et al.
Published: (2024)

Sliding down the stairs: how correlated latent variables accelerate learning with neural networks
by: Bardone, Lorenzo, et al.
Published: (2024)

Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
by: Boffi, Nicholas M., et al.
Published: (2024)

Machine learning the Ising transition: A comparison between discriminative and generative approaches
by: Zhang, Difei, et al.
Published: (2024)

Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
by: Braghetto, Anna, et al.
Published: (2023)

Link rewiring with local information--induced hybrid percolation transitions
by: Cho, Young Sul
Published: (2024)

Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)

Absorbing state phase transitions beyond directed percolation in dissipative quantum state preparation
by: Wampler, Matthew, et al.
Published: (2024)

Deep generative modelling of canonical ensemble with differentiable thermal properties
by: Li, Shuo-Hui, et al.
Published: (2024)

Berezinskii--Kosterlitz--Thouless transition in a context-sensitive random language model
by: Toji, Yuma, et al.
Published: (2024)