Material AI Platform Laboratory 

Welcome to the Material AI Platform Laboratory (MAPL). Our research focuses on developing artificial intelligence and computational methods to accelerate the discovery and design of molecules and materials. By combining machine learning, data-driven approaches, and molecular simulations, we aim to understand complex chemical systems and enable the rational design of functional materials.

At MAPL, we are particularly interested in machine learning for materials prediction, generative models for inverse materials design, autonomous AI systems for scientific discovery, and data-driven integration of experimental and computational chemistry. Our goal is to build intelligent research frameworks that bridge artificial intelligence, chemical knowledge, and physical simulations to accelerate next-generation materials discovery.

We welcome students and researchers who are interested in interdisciplinary research at the intersection of artificial intelligence, chemistry, and materials science.