AI-Driven Hydrogen Storage Design

Overview

Designing hydrogen storage systems for next-generation mobility and energy applications demands a fine balance of efficiency, safety, and robustness—especially under harsh operational environments. We are developing cutting-edge AI models that automate the design of hydrogen storage tanks using advanced alloys, metamaterials, and composites. Our solutions account for real-world variables including manufacturing uncertainty, material degradation, and extreme environmental conditions. These capabilities culminate in the creation of fully functional digital twins—virtual counterparts of storage tanks that evolve over time, reflecting wear and changing performance conditions.