Flex Conference (Physical / Digital)

International Conference on Data Science for Materials Discovery - (ICDSMD-26)

29th - 30th September 2026 , Tokyo - Japan

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Call For Papers

The (ICDSMD-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 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:

  • Data science in materials discovery
  • Machine learning for material properties
  • Predictive modeling in materials science
  • Data-driven approaches to material design
  • Applications of AI in materials research
  • Case studies in materials discovery
  • Sustainability in materials development
  • Data visualization for materials data
  • Integration of experimental and computational data
  • Challenges in materials data management
  • Future trends in materials data science
  • Collaborative platforms for materials research
  • Ethical considerations in materials data
  • Data mining techniques for materials discovery
  • Real-world applications of materials data science
  • Material informatics and data science
  • Benchmarking materials discovery methodologies
  • User experiences with materials data tools
  • Data-driven decision making in materials
  • Impact of data science on materials innovation

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.

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