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Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures

Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures
Dataset supports: Wiecha, P. R. & Muskens, O. L. "Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures". Nano Letters (2019)Simulation data and analysis
University of Southampton
Wiecha, Peter
fb335482-9577-41af-a0ef-3988b7654c9b
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
Wiecha, Peter
fb335482-9577-41af-a0ef-3988b7654c9b
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9

Wiecha, Peter and Muskens, Otto (2019) Dataset for Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures. University of Southampton doi:10.5258/SOTON/D1088 [Dataset]

Record type: Dataset

Abstract

Dataset supports: Wiecha, P. R. & Muskens, O. L. "Deep learning meets nanophotonics: A generalized accurate predictor for near fields and far fields of arbitrary 3D nanostructures". Nano Letters (2019)Simulation data and analysis

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readme_D1088.txt - Text
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figures.zip - Dataset
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raw_training_data.zip - Dataset
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More information

Published date: 1 November 2019

Identifiers

Local EPrints ID: 436603
URI: http://eprints.soton.ac.uk/id/eprint/436603
PURE UUID: db4b212a-f0e1-4bb0-83fb-04151ae3b2fc
ORCID for Otto Muskens: ORCID iD orcid.org/0000-0003-0693-5504

Catalogue record

Date deposited: 17 Dec 2019 17:40
Last modified: 18 Dec 2019 01:34

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