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Dataset for Deep learning enabled design of complex transmission matrices for universal optical components

Dataset for Deep learning enabled design of complex transmission matrices for universal optical components
Dataset for Deep learning enabled design of complex transmission matrices for universal optical components
Data comprising Numerical simulation results and deep learning results to supprot article N. J. Dinsdale, P. R. Wiecha, M. Delaney, J. Reynolds, M. Ebert, I. Zeimpekis, D. J. Thomson, G. T. Reed, P. Lalanne, K. Vynck, O. L. Muskens "Deep learning enabled design of complex transmission matrices for universal optical components". ACS Photonics (2020). Each figure has a Readme file attached.
University of Southampton
Dinsdale, Nicholas Joseph
4ec4aa55-6cce-43f7-9c35-cf8c16e8cf86
Wiecha, Peter
fb335482-9577-41af-a0ef-3988b7654c9b
Delaney, Matthew
46e88672-435e-4f50-8df2-2aed6f3edbcd
Reynolds, Jamie Dean
505b2309-b2fa-434a-9a20-b61e866b3d57
Ebert, Martin
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Zeimpekis-Karakonstantinos, Ioannis
a2c354ec-3891-497c-adac-89b3a5d96af0
Thomson, David
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Reed, Graham
ca08dd60-c072-4d7d-b254-75714d570139
Lalanne, Philippe
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Vynck, Kevin
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Muskens, Otto
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Dinsdale, Nicholas Joseph
4ec4aa55-6cce-43f7-9c35-cf8c16e8cf86
Wiecha, Peter
fb335482-9577-41af-a0ef-3988b7654c9b
Delaney, Matthew
46e88672-435e-4f50-8df2-2aed6f3edbcd
Reynolds, Jamie Dean
505b2309-b2fa-434a-9a20-b61e866b3d57
Ebert, Martin
1a8f1756-d724-4b44-8504-c01f8dc7aa50
Zeimpekis-Karakonstantinos, Ioannis
a2c354ec-3891-497c-adac-89b3a5d96af0
Thomson, David
17c1626c-2422-42c6-98e0-586ae220bcda
Reed, Graham
ca08dd60-c072-4d7d-b254-75714d570139
Lalanne, Philippe
2eaa3c11-ba6e-4de9-85d1-a3788f611964
Vynck, Kevin
fa5b6236-c2d0-47a3-90a9-5c849b9cb22f
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9

Dinsdale, Nicholas Joseph, Wiecha, Peter, Delaney, Matthew, Reynolds, Jamie Dean, Ebert, Martin, Zeimpekis-Karakonstantinos, Ioannis, Thomson, David, Reed, Graham, Lalanne, Philippe, Vynck, Kevin and Muskens, Otto (2021) Dataset for Deep learning enabled design of complex transmission matrices for universal optical components. University of Southampton doi:10.5258/SOTON/D1681 [Dataset]

Record type: Dataset

Abstract

Data comprising Numerical simulation results and deep learning results to supprot article N. J. Dinsdale, P. R. Wiecha, M. Delaney, J. Reynolds, M. Ebert, I. Zeimpekis, D. J. Thomson, G. T. Reed, P. Lalanne, K. Vynck, O. L. Muskens "Deep learning enabled design of complex transmission matrices for universal optical components". ACS Photonics (2020). Each figure has a Readme file attached.

Archive
dataset.zip - Dataset
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readme_D1681.txt - Text
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More information

Published date: 1 January 2021
Related URLs:
Learn more about Institute for Life Sciences research Learn more about School of Physics and Astronomy research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Zepler Institute for Photonics and Nanoelectronics research

Identifiers

Local EPrints ID: 445934
URI: http://eprints.soton.ac.uk/id/eprint/445934
DOI: doi:10.5258/SOTON/D1681
PURE UUID: eb0c64b0-b011-4e30-94d3-89c056454a96
ORCID for Nicholas Joseph Dinsdale: ORCID iD orcid.org/0000-0001-9870-5700
ORCID for Ioannis Zeimpekis-Karakonstantinos: ORCID iD orcid.org/0000-0002-7455-1599
ORCID for Otto Muskens: ORCID iD orcid.org/0000-0003-0693-5504

Catalogue record

Date deposited: 14 Jan 2021 19:16
Last modified: 06 May 2023 01:46

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Contributors

Creator: Nicholas Joseph Dinsdale ORCID iD
Creator: Peter Wiecha
Creator: Matthew Delaney
Creator: Jamie Dean Reynolds
Creator: Martin Ebert
Creator: Ioannis Zeimpekis-Karakonstantinos ORCID iD
Creator: David Thomson
Creator: Graham Reed
Creator: Philippe Lalanne
Creator: Kevin Vynck
Creator: Otto Muskens ORCID iD

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