Artificial intelligence-driven digital twin for fault detection in solid oxide fuel cell stacks under dynamic thermal cycling
Fields of Study & Subjects
Advancements in Solid Oxide Fuel Cells
Fuel Cells and Related Materials
High-Temperature Coating Behaviors
Publication details
- Journal / source
- Journal of Power Sources
- Publisher
- Elsevier BV
- Volume
- 677
- Pages
- 239948–239948
- Publication date
- 31 March 2026
- Language
- EN