The rapid rise in atmospheric CO₂ has led to severe climate change impacts worldwide, demanding urgent and innovative solutions. Catalysis and AI present a unique convergence—where advanced materials science meets intelligent data-driven optimization—to accelerate breakthroughs in CO₂ mitigation.
This 3-day mentor-led program introduces participants to state-of-the-art techniques for CO₂ capture and conversion, covering sorbents like graphene, MOFs, COFs, and zeolites, alongside catalytic reduction methods ranging from borohydrides to electrocatalysis, photocatalysis, and biocatalysis. AI’s role in predictive catalyst design, process optimization, and simulation will also be discussed, preparing participants to tackle both academic and industrial challenges in carbon management.

This workshop aims to bridge the fields of catalysis, chemistry, and artificial intelligence in tackling CO₂ emissions. Participants will gain knowledge of carbon capture, catalytic conversion, and AI-driven solutions for mitigating climate change. The program emphasizes both theoretical insights and industrially adaptable applications.