Journals in Statistical physics and thermodynamics
Journals in Statistical physics and thermodynamics
- ISSN: 0375-9601
Physics Letters A
The journal Physics Letters A offers a rapid review and publication outlet for novel theoretical and experimental frontier physics.The journal covers the following topics:Condensed matter physics,Quantum information (including artificial intelligence and machine learning),Nonlinear science,Statistical physics,Mathematical and computational physics,AMO and physics of complex systems,Plasma and fluid physics,Optical physics,General and cross-disciplinary physics,Biological physics and nanoscience,Astrophy... Particle physics and Cosmology.Physics Letters A also publishes Invited Perspective Articles focusing on break-through research in physics.Note to authors: If you wish to be considered for an Invited Perspective Article please contact the Editors. Physics Letters A does not publish articles on High Energy and Nuclear Physics. Plagiarism, or copying text or results from other sources, is unethical behavior and is not tolerated at Physics Letters A. All manuscripts submitted to Physics Letters A will be checked for originality using the CrossCheck database. For more information on CrossCheck please visit http://www.crossref....
- ISSN: 0378-4371
Physica A: Statistical Mechanics and its Applications
Physica A: Statistical Mechanics and its Applications publishes high-quality fundamental and applied research in the field of statistical physics. The journal emphasizes the development and application of statistical mechanics methods to understand the behavior of microscopic, mesoscopic, and macroscopic systems across diverse disciplines.Research articles should explicitly utilize concepts, models, and techniques from statistical mechanics to address relevant problems. Applied studies are welcome when they demonstrate clear connections to statistical physics principles.Applicati... Domains (with emphasis on statistical mechanics)Soft Matter and Condensed Matter: Statistical mechanics of colloids, polymers, glasses, and complex fluids.Biological Systems and Biophysics: Statistical mechanics-based studies of cellular processes, biological signaling, noise, fluctuations, and systems biology.Chemical Systems: Statistical mechanics approaches to reaction kinetics, phase transitions, and molecular interactions.Complex Networks and Systems: Applications of statistical mechanics to socio-economic networks, financial markets, agent-based models, systemic risk, and the science of science.Interdiscipl... and Social Sciences: Models and analyses of economic and social systems, cultural and political complexity, and computational social science grounded in statistical mechanics principles.Traffic, Transportation, and Collective Dynamics: Statistical mechanics frameworks for vehicular traffic, pedestrian and evacuation dynamics, swarm behavior, intracellular transport, and models of collective motion.Phase Transitions and Critical Phenomena: Theoretical and experimental investigations of phase behavior and critical phenomena utilizing statistical mechanics methods.Artificial Intelligence and Data-Driven Methods: Applications to deep learning, genetic algorithms, and other AI techniques that explicitly incorporate concepts and methods of statistical mechanics.Other Interdisciplinary Areas: Novel insights and modeling approaches where statistical physics provides a foundational framework.Subfields CoveredThe journal welcomes submissions using statistical mechanics in the following subfields:Soft matterBiological systems and systems biologyChemical systemsEconophysics and sociophysicsTraffic and transportation systemsPhase transitions and critical phenomenaComplex systemsAI applications grounded in statistical mechanics approachesDomains Not CoveredPhysica A does not publish research primarily focused on:General physics outside the scope of statistical mechanics.Pure mathematical statistics, statistical applications, or mathematical methods unrelated to statistical physics.Mechanics, fluid mechanics, or mechanical engineering.Economic or econometric studies that do not explicitly employ statistical mechanics frameworks.