Advances in Theoretical & Computational Physics(ATCP)

Statistical Mechanics

Statistical Mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic entities. It does not assume or postulate any natural laws, but explains the macroscopic behavior of nature from the behavior of such ensembles.

Journal key Highlights

Applied Physics Astronomy and Astrophysics Atmosphere and Climate Physics Atomic and Molecular Physics Atomic Physics Bio Photonics Bio Physics Biological and Medical Physics Chemical Physics Classical and Modern Physics Classical Mechanics Computational and Data Science Computational Physics and Numerical Simulation Condensed Matter Physics Cosmic rays Environmental Physics Fluid dynamics Fluid Mechanics Gas-Discharge Physics Geophysics and Planetary science Gravitation and Cosmology High-energy and particle physics Instrumentational Physics Magnetic Materials Magnetism Material Physics Materials science Mathematical Physics Mathematical Physics Mechanics Medical Physics Mesoscopics Metrology and Instrumentation Microscopy Molecular Physics Nanophysics Nanotechnology Networks and complex systems Nonlinear dynamics Nuclear Physics Optics and Lasers Optics, Lazers, Photonics Particle Accelerators Particle Physics Planetory Physics Quantum Mechanics and Quantum Information Theory Quantum Physics Quantum physics and quantum information Quantum Physics and Technology Radiation Protection Semiconductor physics Soft matter physics Solar Physics Statistical Mechanics Statistical physics and Thermodynamics Statitical Physics Superconductivity and Superfluidity Thermodynamics, Fluid Dynamics and Statistical Physics Thermodynamics, Thermokinetics, Fluid Dynamics