AI Cuts Green Hydrogen Optimization From Thousands of Simulations to 17
Developing more efficient green hydrogen systems can require engineers to run thousands of computationally expensive simulations before finding a useful operating point. Researchers in South Korea have demonstrated a different approach: an AI-guided optimization framework for solid oxide electrolysis cells (SOECs) that achieved its reported optimization results using just 17 high-fidelity computational fluid dynamics simulations….
