Researchers at the University of Houston are utilizing artificial intelligence and microwave plasma to improve catalysts for renewable energy processes, with a focus on hydrogen generation, carbon capture, and energy storage. The interdisciplinary team aims to enhance energy efficiency and stability by combining expertise in chemistry, materials science, and engineering with cutting-edge technologies. Funded by the National Science Foundation, the project uses machine learning for catalyst discovery and advanced techniques to study chemical reactions under extreme conditions like plasma. The team's research areas include machine learning-driven catalyst discovery, microwave-plasma simulations, catalyst support materials, and bench-scale demonstrations. Additionally, an education program covering various advanced topics is being developed to train the next generation of STEM professionals. The project's collaborative nature and focus on innovation are expected to have a positive impact on the clean energy transition, providing solutions to global challenges and contributing to economic growth.