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International Conference on Statistical Mechanics and Thermodynamics

ICSMT

22nd Oct – 23rd Oct 2026 Casablanca, Morocco

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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10% OFF on Registration.
Use Coupon Code → EARLY10
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Terms & Condition

Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 9 SDG 11 SDG 12
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.
SDG 9 SDG 11
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.
SDG 9
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.
SDG 9 SDG 12
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.
SDG 9
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.
SDG 9 SDG 12
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.
SDG 9 SDG 12
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.
SDG 9
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.
SDG 9
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.
SDG 9
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.
SDG 9 SDG 12
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.
SDG 9 SDG 12