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Distribution of Relaxation Times Based on Lasso Regression: A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical Systems
[Image: see text] Intensity-modulated photocurrent spectroscopy (IMPS) has been largely employed in semiconductor characterization for solar energy conversion devices to probe the operando behavior with widely available facilities. However, the implementation of IMPS data analysis to complex structu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166235/ https://www.ncbi.nlm.nih.gov/pubmed/37181327 http://dx.doi.org/10.1021/acs.jpcc.3c00770 |
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author | Piccioni, Alberto Vecchi, Pierpaolo Vecchi, Lorenzo Grandi, Silvia Caramori, Stefano Mazzaro, Raffaello Pasquini, Luca |
author_facet | Piccioni, Alberto Vecchi, Pierpaolo Vecchi, Lorenzo Grandi, Silvia Caramori, Stefano Mazzaro, Raffaello Pasquini, Luca |
author_sort | Piccioni, Alberto |
collection | PubMed |
description | [Image: see text] Intensity-modulated photocurrent spectroscopy (IMPS) has been largely employed in semiconductor characterization for solar energy conversion devices to probe the operando behavior with widely available facilities. However, the implementation of IMPS data analysis to complex structures, whether based on the physical rate constant model (RCM) or the assumption-free distribution of relaxation times (DRT), is generally limited to a semi-quantitative description of the charge carrier kinetics of the system. In this study, a new algorithm for the analysis of IMPS data is developed, providing unprecedented time resolution to the investigation of μs to s charge carrier dynamics in semiconductor-based systems used in photoelectrochemistry and photovoltaics. The algorithm, based on the previously developed DRT analysis, is herein modified with a Lasso regression method and available to the reader free of charge. A validation of this new algorithm is performed on a α-Fe(2)O(3) photoanode for photoelectrochemical water splitting, identified as a standard platform in the field, highlighting multiple potential-dependent charge transfer paths, otherwise hidden in the conventional IMPS data analysis. |
format | Online Article Text |
id | pubmed-10166235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101662352023-05-09 Distribution of Relaxation Times Based on Lasso Regression: A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical Systems Piccioni, Alberto Vecchi, Pierpaolo Vecchi, Lorenzo Grandi, Silvia Caramori, Stefano Mazzaro, Raffaello Pasquini, Luca J Phys Chem C Nanomater Interfaces [Image: see text] Intensity-modulated photocurrent spectroscopy (IMPS) has been largely employed in semiconductor characterization for solar energy conversion devices to probe the operando behavior with widely available facilities. However, the implementation of IMPS data analysis to complex structures, whether based on the physical rate constant model (RCM) or the assumption-free distribution of relaxation times (DRT), is generally limited to a semi-quantitative description of the charge carrier kinetics of the system. In this study, a new algorithm for the analysis of IMPS data is developed, providing unprecedented time resolution to the investigation of μs to s charge carrier dynamics in semiconductor-based systems used in photoelectrochemistry and photovoltaics. The algorithm, based on the previously developed DRT analysis, is herein modified with a Lasso regression method and available to the reader free of charge. A validation of this new algorithm is performed on a α-Fe(2)O(3) photoanode for photoelectrochemical water splitting, identified as a standard platform in the field, highlighting multiple potential-dependent charge transfer paths, otherwise hidden in the conventional IMPS data analysis. American Chemical Society 2023-04-20 /pmc/articles/PMC10166235/ /pubmed/37181327 http://dx.doi.org/10.1021/acs.jpcc.3c00770 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Piccioni, Alberto Vecchi, Pierpaolo Vecchi, Lorenzo Grandi, Silvia Caramori, Stefano Mazzaro, Raffaello Pasquini, Luca Distribution of Relaxation Times Based on Lasso Regression: A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical Systems |
title | Distribution of
Relaxation Times Based on Lasso Regression:
A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical
Systems |
title_full | Distribution of
Relaxation Times Based on Lasso Regression:
A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical
Systems |
title_fullStr | Distribution of
Relaxation Times Based on Lasso Regression:
A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical
Systems |
title_full_unstemmed | Distribution of
Relaxation Times Based on Lasso Regression:
A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical
Systems |
title_short | Distribution of
Relaxation Times Based on Lasso Regression:
A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical
Systems |
title_sort | distribution of
relaxation times based on lasso regression:
a tool for high-resolution analysis of imps data in photoelectrochemical
systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166235/ https://www.ncbi.nlm.nih.gov/pubmed/37181327 http://dx.doi.org/10.1021/acs.jpcc.3c00770 |
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