Persistent Homology analysis of Phase Transitions
arXiv:1601.03641 · doi:10.1103/PhysRevE.93.052138
Abstract
Persistent homology analysis, a recently developed computational method in algebraic topology, is applied to the study of the phase transitions undergone by the so-called XY-mean field model and by the phi^4 lattice model, respectively. For both models the relationship between phase transitions and the topological properties of certain submanifolds of configuration space are exactly known. It turns out that these a-priori known facts are clearly retrieved by persistent homology analysis of dynamically sampled submanifolds of configuration space.
10 pages; 10 figures
References in corpus (2)
Cited by in corpus (40)
- A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
- The persistence landscape and some of its properties
- Persistent homology detects curvature
- Quantitative and Interpretable Order Parameters for Phase Transitions from Persistent Homology
- Does the brain behave like a (complex) network? I. Dynamics
- Topological data analysis of continuum percolation with disks
- Topological Persistence Machine of Phase Transitions
- Topological data analysis and machine learning
- Finding hidden order in spin models with persistent homology
- Quantitative analysis of phase transitions in two-dimensional XY models using persistent homology
- Finding self-similar behavior in quantum many-body dynamics via persistent homology
- Topological time-series analysis with delay-variant embedding
- Learning quantum phase transitions through Topological Data Analysis
- Topological Approach to Microcanonical Thermodynamics and Phase Transition of Interacting Classical Spins
- Probing center vortices and deconfinement in lattice gauge theory with persistent homology
- Unsupervised machine learning approaches to the -state Potts model
- Topological Theory of Phase Transitions
- Persistent Homology of Gauge Theories
- Materials Fingerprinting Classification
- Persistent homology of quantum entanglement
- Persistent homology analysis for dense QCD effective model with heavy quarks
- Confinement in non-Abelian lattice gauge theory via persistent homology
- Applications of Persistent Homology in Nuclear Collisions
- Probing universal dynamics with topological data analysis in a gluonic plasma
- Network science Ising states of matter
- Detecting defect dynamics in relativistic field theories far from equilibrium using topological data analysis
- Dark soliton detection using persistent homology
- Models with symmetry-breaking phase transitions triggered by dumbbell-shaped equipotential surfaces
- Persistent homology analysis of deconfinement transition in effective Polyakov-line model
- Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
- TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
- Phase transitions triggered by dumbbell equipotential hypersurfaces
- Topological Data Analysis of Monopole Current Networks in Lattice Gauge Theory
- Through synapses to spatial memory maps: a topological model
- Homology Groups of Embedded Fractional Brownian Motion
- Interpretable Phase Detection and Classification with Persistent Homology
- Identifying weak critical fluctuations of intermittency in heavy-ion collisions with topological machine learning
- From topological analyses to functional modeling: the case of hippocampus
- Discovery of statistical equivalence classes using computer algebra
- Structural heterogeneity: a topological characteristic to track the time evolution of soft matter systems