Dataset for the paper 'THz-TDS: extracting complex conductivity of two-dimensional materials via neural networks trained on synthetic and experimental data'
Dataset for the paper 'THz-TDS: extracting complex conductivity of two-dimensional materials via neural networks trained on synthetic and experimental data'
Dataset for paper titled: "THz-TDS: extracting complex conductivity of two-dimensional materials via neural networks trained on synthetic and experimental data" Published in Optics Express
Training and validation data used for 4 networks:
- Large synthetically trained network using 2e5 training sets
Comparison networks for different training sets
- Small synthetic network 1600 data sets
- Experimental network 800 data sets
- Hybrid trained network with 1600 datasets (800 experimental sets, 800 synthetic sets)
University of Southampton
Beddoes, Benjamin
35375a11-5785-4874-a0a8-88b50be6cede
Beddoes, Benjamin
35375a11-5785-4874-a0a8-88b50be6cede
Beddoes, Benjamin
(2025)
Dataset for the paper 'THz-TDS: extracting complex conductivity of two-dimensional materials via neural networks trained on synthetic and experimental data'.
University of Southampton
doi:10.5258/SOTON/D3433
[Dataset]
Abstract
Dataset for paper titled: "THz-TDS: extracting complex conductivity of two-dimensional materials via neural networks trained on synthetic and experimental data" Published in Optics Express
Training and validation data used for 4 networks:
- Large synthetically trained network using 2e5 training sets
Comparison networks for different training sets
- Small synthetic network 1600 data sets
- Experimental network 800 data sets
- Hybrid trained network with 1600 datasets (800 experimental sets, 800 synthetic sets)
Archive
Dataset.zip
- Dataset
Text
README_Beddoes.txt
- Dataset
More information
Published date: 31 March 2025
Identifiers
Local EPrints ID: 499530
URI: http://eprints.soton.ac.uk/id/eprint/499530
PURE UUID: fe71d507-eb4c-4456-922b-3c226eb82cf6
Catalogue record
Date deposited: 25 Mar 2025 17:37
Last modified: 03 Jun 2025 02:06
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Contributors
Creator:
Benjamin Beddoes
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