GenMatLab: A Generative Platform for Inverse Materials Design

Authors

  • Hangwei Qian CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore
  • Yang He CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore
  • Yaxin Shi CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore
  • Ivor Tsang CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore

DOI:

https://doi.org/10.1609/aaai.v40i48.42374

Abstract

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.
AAAI-26 / IAAI-26 / EAAI-26 Proceedings Cover

Downloads

Published

2026-03-14

How to Cite

Qian, H., He, Y., Shi, Y., & Tsang, I. (2026). GenMatLab: A Generative Platform for Inverse Materials Design. Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41664–41666. https://doi.org/10.1609/aaai.v40i48.42374

Issue

Vol. 40 No. 48: EAAI-26 AI for Education, Model AI Assignments, AAAI-26 Emerging Trends, Doctoral Consortium, Student Abstracts, Undergraduate Consortium and Demonstrations

Section

AAAI Demonstration Track