S2NO/Forward
Forward Models Overview The Strong Scattering Neural Operator (S2NO) is a neural operator specifically designed for solving highly oscillatory partial differential equations (PDEs) over large computational domains. Using neural operators as surrogate models in full waveform inversion (FWI) enables accurate and efficient quantitative volumetric imaging of in vivo human breast and musculoskeletal tissues. We provide implementations and pre-trained weights for S2NO… See the full description on the dataset page: https://huggingface.co/datasets/S2NO/Forward.
| Author / organization | S2NO |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 131 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 November 2025 |
| Last updated at source | 11 November 2025 |
Recent changes
- 16 Oct 2026 Description: Forward Models Overview The Strong Scattering Neural Operator (S2NO) is a neural operator specifically designed for solving highly oscillatory partial differential equations (PDEs) over large computational domains. Using neural operators as → Forward Models Overview The Strong Scattering Neural Operator (S2NO) is a neural operator specifically designed for solving highly oscillatory partial differential equations (PDEs) over large computational domains. Using neural operators as
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