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
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

7957-7964

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Auteurs

Alberto Piccioni (A)

Department of Physics and Astronomy, University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.

Pierpaolo Vecchi (P)

Department of Physics and Astronomy, University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.

Lorenzo Vecchi (L)

Department of Mathematics, University of Bologna, Piazza di Porta San Donato 5, 40126 Bologna, Italy.

Silvia Grandi (S)

Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy.

Stefano Caramori (S)

Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy.

Raffaello Mazzaro (R)

Department of Physics and Astronomy, University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.

Luca Pasquini (L)

Department of Physics and Astronomy, University of Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy.

Classifications MeSH