1. AI-Driven Catalyst Design
Catalysts possess complex and diverse structures that can change with reaction conditions, the microenvironment, and the process. We use AI to address this complexity.
2. AI-Enabled Large-Scale Modeling
We use AI to enhance the precision of large-scale simulation methods, making them practical for real experimental applications.
3. AI-Assisted Experimental Data Mining
Valuable patterns and knowledge will be extracted from experimental datasets, uncovering hidden relationships, informing experiment design and interpretation in energy chemistry.