Recent progress:

Synthesis of HER catalyst NiP on stainless steel mesh electrode:
Video #1: https://www.youtube.com/watch?v=4qlzs4fIwdA

Research Goal:

The overarching goal of this project is to establish an artificial intelligence (AI) guided self-driving lab (AISL) for the autonomous and highly efficient discovery of new materials. To achieve this goal, we will integrate: 1) A robotic platform to synthesize the AI predicted materials autonomously; 2) The integration of the in situ characterization techniques to evaluate the performance and properties of the materials synthesized by the system; 3) (Collaboration with Dr. Jiefu Chen, Dr. Lars Grabow, and Dr. Xuqing Wu from UH) The state-of-the-art Equiformer graph neural network (GNN) model trained on the Open Catalyst Project (OCP) dataset to discover candidate materials that can facilitate catalytic reactions; and 4) An automatic feedback system to transfer the characterization data back to the GNN model for better optimization and prediction.