GenMatLab: A Generative Platform for Inverse Materials Design

In this demo, we present GenMatLab, a user-friendly web platform that makes latest AI techniques accessible for inverse materials design. The platform integrates data analysis and generative modeling into an easy-to-use interface, enabling researchers, material domain experts, and practitioners to explore and apply AI techniques without requiring advanced coding expertise. At its core are generative AI models that support interactive operations, allowing users to conduct inverse design and investigate generated candidates in an intuitive and exploratory way. By lowering technical barriers, GenMatLab empowers a broader community to leverage cutting-edge AI methods for accelerating materials discovery.

Authors

• Hangwei Qian Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore
• Yang He
• Yaxin Shi
• Ivor Tsang Centre for Frontier AI Research, Agency for Science, Technology and Research Institute of High Performance Computing, Agency for Science, Technology and Research

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