Researchers at Seoul National University of Science and Technology developed an AI framework to optimize solid oxide electrolysis cells. The system rapidly identifies ideal operating conditions to maximize hydrogen output. This approach reduces the trial-and-error cycle typical of material science. Practitioners can now accelerate the deployment of efficient, decarbonized industrial energy systems.