A physics-informed neural network method for predicting maximum pitting corrosion depth in pipelines
Fields of Study & Subjects
Structural Integrity and Reliability Analysis
Corrosion Behavior and Inhibition
Hydrogen embrittlement and corrosion behaviors in metals
Publication details
- Journal / source
- Process Safety and Environmental Protection
- Publisher
- Elsevier BV
- Volume
- 208
- Pages
- 108520–108520
- Publication date
- 30 January 2026
- Language
- EN