Credible long-term degradation prediction for proton exchange membrane fuel cell: A physics-informed neural network with conformal prediction approach
Fields of Study & Subjects
Fuel Cells and Related Materials
Advanced battery technologies research
Electrocatalysts for Energy Conversion
Publication details
- Journal / source
- Reliability Engineering & System Safety
- Publisher
- Elsevier BV
- Volume
- 276
- Pages
- 112945–112945
- Publication date
- 28 May 2026
- Language
- EN