International Conference on

Statistical Mechanics and Thermodynamics (ICSMT-26)

Conference Date

22nd Oct - 23rd Oct 2026

Conference Venue

Casablanca, Morocco

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Statistical Mechanics and Thermodynamics"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Statistical Mechanics Fundamentals

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.

Track 02

Thermodynamic Phase Transitions

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.

Track 03

Entropy and Information Theory

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.

Track 04

Kinetic Theory and Transport 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.

Track 05

Monte Carlo Simulations in Statistical Physics

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.

Track 06

Molecular Dynamics and Computational Techniques

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.

Track 07

Non-Equilibrium Statistical Mechanics

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.

Track 08

Fluctuations and Correlation Functions

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.

Track 09

Mean Field Theory and Beyond

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.

Track 10

Soft Matter and Complex Systems

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.

Track 11

Energy Landscapes and Theoretical Modeling

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.