Modeling of systems with emergent behavior. The course has two components: (1) basic and intermediate statistical mechanics, and (2) application of the course methods to a case study, chosen from ...

Statistical mechanics is one of the most exciting areas of physics today, and it also has applications to subjects as diverse as economics, social behavior, algorithmic theory, and evolutionary ...

The Statistical Mechanics and Thermodynamics Group is one of the RSC's many Interest Groups. The Interest Groups are member driven groups which exist to benefit RSC members, and the wider chemical ...

This is a repository of materials for the class Chem563 "Statistical Mechanics for Chemistry and Biology." The content is hsoted on the web and cosists of markdown files and jupyter notebooks using ...

Lecture notes of the Master's degree course "Statistical Mechanics" of Prof. Enzo Orlandini at the University of Padova. The notes are updated for the "Physics of Data" master course a.y. 2023/2024.

Statistical mechanics lies at the interface between probability theory and physics. It goes back to the physicists Clausius and in particular Gibbs and Boltzmann. Its aim is to understand the ...

Thermodynamics concerns the foundation of all branches of physical sciences. Therefore, this is a required course for all mechanical engineering students. Also, the students of all other branches of ...

This virtual symposium focuses on using equilibrium and non-equilibrium statistical mechanics to address significant problems in physical chemistry and chemical physics. It highlights the importance ...

Statistical mechanics is a branch of physics that uses statistical methods to explain the behavior of systems with a large number of particles. In the context of polymers and biophysical systems ...

Theoretical Physics, thermodynamics and statistical mechanics of condensed matter systems: exact calculations involving the two-dimensional Ising model, solid-liquid transitions in systems of small ...

Kaniadakis statistics is a framework that extends traditional statistical mechanics by introducing a new form of entropy, known as Kaniadakis entropy. This approach is particularly useful in ...