operator-learning
hybrid-operator-learning-of-wave-scattering-maps-in-high-contrast-media
Hybrid Helmholtz const_back Raw Data
This dataset repository contains the raw NumPy arrays used by the paper
Hybrid operator learning of wave scattering maps in high-contrast media.
Github repo.
The repository is intentionally minimal. It contains only the four raw arrays
consumed by scripts/prepare_data.py; processed splits can be regenerated from
these files.
Files
Path
Dtype
Shape
Size
const_back/velocity_sharp.npy
float32
[50000, 256, 256]
12.2 GB… See the full description on the dataset page: https://huggingface.co/datasets/davidMis/hybrid-operator-learning-of-wave-scattering-maps-in-high-contrast-media.Basis-to-Basis-Operator-LearningThis repo contains the data for "Basis-to-Basis Operator Learning Using Function Encoders". Unpack the zip into src/datasets/
license: cc-by-4.0