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Dataset supporting the PhD Thesis "Inverse Design of Structural Colour Devices via Machine Learning"

Dataset supporting the PhD Thesis "Inverse Design of Structural Colour Devices via Machine Learning"
Dataset supporting the PhD Thesis "Inverse Design of Structural Colour Devices via Machine Learning"
This dataset supports the University of Southampton Doctoral Thesis "Inverse Design of Structural Colour Devices via Machine Learning". The dataset includes the datasets used for the ANNs training, validation and test, and the raw data used to plot the figures in the PhD thesis. These datasets were collected via home developed python code, Lumerical FDTD solutions and experiments. The pkl files can be opened via the python pickle package. The csv and xlsx files can be viewed via Microsoft Excel. This dataset contains: 1. dataset_chapter_4.7z: including the datasets used in chapter 4 for ANN training, validation and test. 2. dataset_chapter_5.zip: including the datasets used in chapter 5 for ANN training, validation and test. 3. dataset_chapter_6.csv: including the datasets used in chapter 6 for ANN training, validation and test. 4. Spread_sheet.xlsx: including the raw data used in chapters 4 to 6 for plotting figures. The data was collected from Southampton UK; Changsha China. Licence: CC BY Related projects/Funders: International Exchange Scheme (IEC\NSFC\170193) between Royal Society (UK) and the National Natural Science Foundation of China (China) EPSRC (EP/N035437/1)
University of Southampton
Dai, Peng
1150a00a-e54b-438b-bf51-4e8521c07f66
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
Dai, Peng
1150a00a-e54b-438b-bf51-4e8521c07f66
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9

Dai, Peng (2023) Dataset supporting the PhD Thesis "Inverse Design of Structural Colour Devices via Machine Learning". University of Southampton doi:10.5258/SOTON/D2870 [Dataset]

Record type: Dataset

Abstract

This dataset supports the University of Southampton Doctoral Thesis "Inverse Design of Structural Colour Devices via Machine Learning". The dataset includes the datasets used for the ANNs training, validation and test, and the raw data used to plot the figures in the PhD thesis. These datasets were collected via home developed python code, Lumerical FDTD solutions and experiments. The pkl files can be opened via the python pickle package. The csv and xlsx files can be viewed via Microsoft Excel. This dataset contains: 1. dataset_chapter_4.7z: including the datasets used in chapter 4 for ANN training, validation and test. 2. dataset_chapter_5.zip: including the datasets used in chapter 5 for ANN training, validation and test. 3. dataset_chapter_6.csv: including the datasets used in chapter 6 for ANN training, validation and test. 4. Spread_sheet.xlsx: including the raw data used in chapters 4 to 6 for plotting figures. The data was collected from Southampton UK; Changsha China. Licence: CC BY Related projects/Funders: International Exchange Scheme (IEC\NSFC\170193) between Royal Society (UK) and the National Natural Science Foundation of China (China) EPSRC (EP/N035437/1)

Archive
dataset_chapter_4.7z - Dataset
Available under License Creative Commons Attribution.
Download (81MB)
Archive
dataset_chapter_5.zip - Dataset
Available under License Creative Commons Attribution.
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Text
dataset_chapter_6.csv - Dataset
Available under License Creative Commons Attribution.
Download (4MB)
Spreadsheet
spread_sheet.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (27MB)
Text
thesis_readme.txt - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 20 November 2023

Identifiers

Local EPrints ID: 484768
URI: http://eprints.soton.ac.uk/id/eprint/484768
PURE UUID: 389d3162-2e84-40e0-9748-453e3b0f4d00
ORCID for Peng Dai: ORCID iD orcid.org/0000-0002-5973-9155
ORCID for Ruomeng Huang: ORCID iD orcid.org/0000-0003-1185-635X
ORCID for Kees De Groot: ORCID iD orcid.org/0000-0002-3850-7101
ORCID for Otto Muskens: ORCID iD orcid.org/0000-0003-0693-5504

Catalogue record

Date deposited: 21 Nov 2023 17:40
Last modified: 23 Nov 2023 02:57

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Contributors

Creator: Peng Dai ORCID iD
Research team head: Ruomeng Huang ORCID iD
Research team head: Kees De Groot ORCID iD
Research team head: Otto Muskens ORCID iD

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