Datasets used in Scaling up wave calculations with a Scattering Network

Dataset

Description

The complex-valued field distributions and matrices used to produce the figures in the manuscript "Scaling up wave calculations with a Scattering Network" Intelligent Computing (2024).

Data is encoded in Python's NumPy format. Files with the .npy extension store individual complex-valued ndarrays with the field values and permittivity distribution descriptions. Files with the .npz extension store multiple ndarrays to describe the scattering and deposition matrices. The final high resolution / vector graphics versions of the figures are included in Portable Document Format (.pdf).

Data are made available CC BY-SA 4.0 Attribution-ShareAlike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/
Date made availableApr 2024
PublisherUniversity of Dundee
Date of data production18 Apr 2024

Data Monitor categories

  • wavefront shaping
  • complex coherent wave scattering
  • physics-encoded neural network
  • deposition matrix
  • scattering matrix

UN SDGs

This dataset contributes to the following UN Sustainable Development Goals (SDGs)

  • SDG 3 - Good Health and Well-being

Contact

Access Dataset

  • Scaling Up Wave Calculations with a Scattering Network

    Valantinas, L. & Vettenburg, T. (Lead / Corresponding author), 5 Aug 2024, In: Intelligent Computing. 3, 10 p., 0098.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    11 Downloads (Pure)

Cite this