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International Conference on Computational Materials Science and Simulation - (ICCMSAS-27)

11th - 12th June 2027 , Lisbon - Portugal

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Call For Papers

The (ICCMSAS-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 Computational Science, Data Science 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 techniques in materials science
  • Modeling and simulation of materials behavior
  • Nanomaterials and computational approaches
  • Machine learning in materials discovery
  • Data-driven materials design methodologies
  • Computational thermodynamics in materials science
  • Multiscale modeling of materials properties
  • Applications of AI in materials research
  • Quantum mechanics simulations of materials
  • Computational techniques for alloy design
  • Characterization of materials using simulations
  • Computational methods for polymers and composites
  • Thermal analysis in computational materials science
  • Experimental validation of computational models
  • Computational modeling of biomaterials
  • Materials informatics and data mining
  • Emerging trends in computational materials
  • Interdisciplinary approaches to materials research
  • Challenges in materials simulation techniques
  • Future directions in computational materials science

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.