Flex Conference (Physical / Digital)

International Conference on Computational Mechanics and Numerical Analysis - (ICC-MNA-26)

22nd - 23rd December 2026 , Kowloon City - Hong Kong

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Call For Papers

The (ICC-MNA-26) 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 Numerical Methods 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:

  • Computational mechanics in numerical analysis
  • Applications of numerical analysis in engineering
  • Finite element analysis in structural mechanics
  • Computational fluid dynamics techniques
  • Numerical methods for solid mechanics
  • Multiphysics simulations in computational mechanics
  • Stability analysis in computational mechanics
  • Numerical modeling of complex materials
  • Applications of computational mechanics in industry
  • High-performance computing in mechanics
  • Nonlinear problems in computational mechanics
  • Numerical methods for dynamic systems
  • Computational methods for wave propagation
  • Recent advances in computational mechanics
  • Integration of AI in computational mechanics
  • Numerical techniques for optimization in mechanics
  • Challenges in computational mechanics
  • Future trends in computational mechanics
  • Error analysis in computational mechanics
  • Comparative studies in computational methods

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.