Flex Conference (Physical / Digital)

International Conference on Statistical Mechanics and Thermodynamics - (ICSMT-27)

18th - 19th February 2027 , Kuala Lumpur - Malaysia

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICSMT-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Physics are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Statistical mechanics of complex systems
  • Thermodynamic properties of materials
  • Entropy and information theory applications
  • Phase transitions in statistical mechanics
  • Non-equilibrium statistical mechanics studies
  • Applications of statistical mechanics in biology
  • Fluctuations and critical phenomena
  • Statistical mechanics in quantum systems
  • Monte Carlo methods in statistical mechanics
  • Statistical mechanics of soft matter
  • Thermodynamics of small systems
  • Applications of statistical mechanics in finance
  • Statistical mechanics of networks and systems
  • Entropy production in thermodynamic processes
  • Statistical mechanics and machine learning
  • Quantum statistical mechanics developments
  • Statistical mechanics in cosmology
  • Interdisciplinary applications of thermodynamics
  • Statistical mechanics of biological systems
  • Emerging trends in statistical physics

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.