A container with python and the Matlab MCR installed to run programs to generate synthetic inelastic neutron scattering data to train a convolutional neural network to distinguish between different exchange models. The code to do this is at: https://github.com/keeeto/interpretable-ml-neutron-spectroscopy
Content type
Image
Digest
Size
3.6 GB
Last updated
almost 6 years ago
docker pull mducle/ml_ins_data_generation