Distribution of Relaxation Times Based on Lasso Regression: A Tool for High-Resolution Analysis of IMPS Data in Photoelectrochemical Systems.
Journal
The journal of physical chemistry. C, Nanomaterials and interfaces
ISSN: 1932-7447
Titre abrégé: J Phys Chem C Nanomater Interfaces
Pays: United States
ID NLM: 101299949
Informations de publication
Date de publication:
04 May 2023
04 May 2023
Historique:
received:
03
02
2023
revised:
05
04
2023
pubmed:
14
5
2023
medline:
14
5
2023
entrez:
14
5
2023
Statut:
epublish
Résumé
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
Identifiants
pubmed: 37181327
doi: 10.1021/acs.jpcc.3c00770
pmc: PMC10166235
doi:
Types de publication
Journal Article
Langues
eng
Pagination
7957-7964Informations de copyright
© 2023 The Authors. Published by American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.