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Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering"

Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering"
Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering"
Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering". The dataset contains a "ReadMe.txt" file that explains how to read the data, and a "Thesis data - Brouckaert Nicolas.rar" file that is a compressed folder containing all the data divided in several topics. Each topic contain an "index.xlxs" file that helps to quickly identify where any relevant data is located.
OMPA, CPI, cross-polarised intensity measurements, photovoltaic space-light modulators, PSLM, photovoltaic, liquid crystal, doped liquid crystal, nanoparticles
University of Southampton
Brouckaert, Nicolas
3a5fc4fe-1d30-4102-9edd-c15d134a5c4b
D'alessandro, Giampaolo
bad097e1-9506-4b6e-aa56-3e67a526e83b
Kaczmarek, Malgosia
408ec59b-8dba-41c1-89d0-af846d1bf327
Brouckaert, Nicolas
3a5fc4fe-1d30-4102-9edd-c15d134a5c4b
D'alessandro, Giampaolo
bad097e1-9506-4b6e-aa56-3e67a526e83b
Kaczmarek, Malgosia
408ec59b-8dba-41c1-89d0-af846d1bf327

Brouckaert, Nicolas, D'alessandro, Giampaolo and Kaczmarek, Malgosia (2024) Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering". University of Southampton doi:10.5258/SOTON/D3048 [Dataset]

Record type: Dataset

Abstract

Dataset supporting the University of Southampton Doctoral Thesis "Improving performances of self-powered liquid crystal devices by doping and photovoltaic layers engineering". The dataset contains a "ReadMe.txt" file that explains how to read the data, and a "Thesis data - Brouckaert Nicolas.rar" file that is a compressed folder containing all the data divided in several topics. Each topic contain an "index.xlxs" file that helps to quickly identify where any relevant data is located.

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Thesis_data_-_Brouckaert_Nicolas.rar - Dataset
Available under License Creative Commons Attribution.
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Thesis-readme.txt - Dataset
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More information

Published date: 26 November 2024
Keywords: OMPA, CPI, cross-polarised intensity measurements, photovoltaic space-light modulators, PSLM, photovoltaic, liquid crystal, doped liquid crystal, nanoparticles

Identifiers

Local EPrints ID: 495857
URI: http://eprints.soton.ac.uk/id/eprint/495857
PURE UUID: 8451b442-68a1-4b7e-b2b2-ddc8700c2196
ORCID for Giampaolo D'alessandro: ORCID iD orcid.org/0000-0001-9166-9356

Catalogue record

Date deposited: 26 Nov 2024 17:35
Last modified: 28 Nov 2024 02:34

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Contributors

Creator: Nicolas Brouckaert

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