Topics and Format
The Conference is organized in the following three Areas to cover all the Topics of Statistical Physics:
Area A: Foundations and Theoretical aspects of classical, quantum, and relativistic statistical physics and thermodynamics. Mathematical aspects and methods, formalism, rigorous results, exact solutions, connections with the methods of high energy physics, string theory, black-hole entropy, cosmological theories, mathematical statistics and information theory, information geometry, classical, quantum and relativistic transport theory, Boltzmann and Fokker-Planck kinetics, nonlinear kinetics, dynamical systems, thermodynamics and geometro-thermodynamics, relaxation phenomena, random systems, pattern formation, fractal systems, solitons, chaotic systems, strongly correlated electrons, soft quantum matter, mesoscopic quantum phenomena, fractional quantum Hall effect, low dimensional quantum field theory, quantum phase transitions, quantum information and entanglement, quantum computation and quantum criptography, power laws, stochastic optimal control, etc.
Area B: Applications to Physical Systems: quantum systems, soft condensed matter, liquid crystals, plasmas, fluids, surfaces and interfaces, disordered and glassy systems, percolation, spin glasses, structural glasses, jamming, critical phenomena and phase transitions, fluids and interfacial phenomena, molecular and ionic fluids, meta-stable liquids, hydrodynamic instabilities, turbulence, growth processes, wetting, surface effects, films, crystals, confined systems, surfaces and interfaces, chemical reactions, cold atoms, quantum information and quantum computing, etc.
Area C: Applications to non-Physical Systems: Interdisciplinary applications of statistical physics, networks and graphs, applied networks, biophysics, genomics, environments, climate and earth models, seismology, linguistics, econophysics, social systems, traffic flow, algorithmic problems, complex systems, nonlinear time-series analysis, novel data analysis tools, extreme events, tipping points, prediction, classification, etc..
Area D: Statistical Mechanics and Artificial Intelligence (AI): including artificial neural networks using physics principles, neural networks as spin systems, Hopfield models, Boltzmann machines and machines learning, phase transitions and self-organized (and not) criticality in AI systems, robustness and resilience in training procedures, learning as minimization of free energy, phase transitions in learning, stochastic dynamics, generalization via statistical physics, thermodynamics of learning physical phenomena, statistical ensembles large models in AI, inference and learning dynamics, bioinspired models, applications and emerging directions of AI and statistical mechanics, etc.
Any area includes several Sessions dealing with general aspects and applications.
Special sessions: Some special sessions will cluster talks dedicated to the thematic areas of the main conference.
Workshops: Some workshops will cluster talks dedicated to special applications of statistical physics in physical and non-physical systems and will be organized as parallel events.
Poster Sessions: The Conference will also include some poster sessions.
The summer board meeting of the European Physical Society - Statistical and Nonlinear Physics Division (EPS-SNP) will be held during the SigmaPhi2026 Conference