Can Deep Learning Achieve Cross-Physics Mapping?
cs.LG, physics.app-ph
Submitted: 2026-09-15
Updated: 2026-09-15
Code: https://github.com/Pengfei0705/Cross-Physics-Learning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
- DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
- Fourier Neural Operator for Parametric Partial Differential Equations
- Principal Component Analysis-Based Terahertz Self-Supervised Denoising and Deblurring Deep Neural Networks
- Real-Time Super-Resolution Imaging System Based on Zero-Shot Learning for Infrared Non-Destructive Testing
- Structured Illumination Scanning Thermography (SISTER)
- U-NO: U-shaped Neural Operators
- Generalized virtual wave reconstruction for vibrothermography: Overcoming the wavefront-free behavior and quantification challenges in the diffusion-wave field
- Generalized Virtual-Wave Theory for Photothermal Coherence Tomography under Arbitrary Excitation Toward Non-Contact Industrial Inspection of Composite Materials
- A Unified Framework for Virtual Wave Transform: From Generalized Formulation to Excitation-Specific Projection
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