Back Cover: RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations (Adv. Intell. Disc. 3/2026)
Abstract
The residual-based adversarial-gradient moving sample (RAMS) method steers training samples along adversarial gradients toward residual peaks of partial differential equations (PDEs), providing efficient adaptive sampling for physics-informed neural networks and neural operators in solving PDEs. More details can be found in the Research Article by Lu Lu and co-workers (DOI: 10.1002/aidi.202500214).
Fields of Study & Subjects
Model Reduction and Neural Networks
Gaussian Processes and Bayesian Inference
Machine Learning in Materials Science
Publication details
- Journal / source
- Advanced Intelligent Discovery
- Volume
- 2
- Issue
- 3
- Publication date
- 1 June 2026
- Language
- EN