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International Conference on Statistical Mechanics and Thermodynamics

📅 20–21 Jan 2027 📍 Thessaloniki, Greece 👤 Standard / Listener

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track will explore the foundational principles of statistical mechanics, focusing on the mathematical frameworks and theoretical underpinnings. Discussions will include the role of ensembles and partition functions in understanding macroscopic systems.

This session will delve into the nature of phase transitions, emphasizing the thermodynamic and statistical mechanics perspectives. Topics will cover first and second-order transitions, critical phenomena, and the role of order parameters.

This track will investigate the concept of entropy from both thermodynamic and informational viewpoints. The discussions will highlight its implications in various physical systems and its relevance in understanding complex phenomena.

This session will focus on kinetic theory and its applications to transport phenomena in gases and fluids. Participants will explore the connections between microscopic dynamics and macroscopic behavior.

This track will cover the application of Monte Carlo methods in statistical mechanics, emphasizing their utility in studying complex systems. Case studies will illustrate their effectiveness in exploring phase space and equilibrium properties.

This session will focus on molecular dynamics simulations as a tool for investigating the behavior of materials at the atomic level. Discussions will include algorithmic advancements and applications in soft matter and biological systems.

This track will explore the principles of non-equilibrium statistical mechanics and its implications for understanding dynamic systems. Topics will include fluctuation-dissipation relations and the emergence of steady states.

This session will examine the role of fluctuations and correlation functions in statistical mechanics. Participants will discuss their significance in characterizing phase transitions and critical behavior.

This track will investigate mean field theory as a powerful approximation in statistical mechanics, along with its limitations and extensions. Participants will explore applications in various systems, including spin models and liquid crystals.

This session will focus on the statistical mechanics of soft matter and complex systems, highlighting their unique properties and behaviors. Discussions will include the interplay between microscopic interactions and macroscopic phenomena.

This track will explore the concept of energy landscapes in statistical mechanics and its implications for understanding system behavior. Theoretical modeling approaches will be discussed, emphasizing their role in predicting phase behavior.