Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films <i>via</i> precise automated characterization methods and machine learning assisted analysis-Reference-Cited by-同舟云学术

Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis

Published:2024 Issue:12 Volume:12 Page:7025-7035
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Wieczorek Alexander¹^ORCID,Kuba Austin G.²^ORCID,Sommerhäuser Jan¹,Caceres Luis Nicklaus¹^ORCID,Wolff Christian M.²^ORCID,Siol Sebastian¹^ORCID

Affiliation:

1. Laboratory for Surface Science and Coating Technologies, Empa – Swiss Federal Laboratories for Materials Science and Technology, Switzerland

2. Institute of Electrical and Microengineering (IEM), Photovoltaic and Thin-Film Electronics Laboratory, EPFL –École Polytechnique Fédérale de Lausanne, Switzerland

Abstract

A comprehensive inert-gas workflow for combinatorial aging studies gives insight into the intrinsic stability of hybrid perovskites under relevant aging conditions.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Bundesamt für Energie

H2020 Marie Skłodowska-Curie Actions

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA07274F

Reference61 articles.

1. Ultrastable near-infrared perovskite light-emitting diodes

2. High‐Performance Flexible All‐Perovskite Tandem Solar Cells with Reduced V _OC ‐Deficit in Wide‐Bandgap Subcell

3. Stable perovskite single-crystal X-ray imaging detectors with single-photon sensitivity

4. Stability of perovskite materials and devices

5. The Path to Perovskite Commercialization: A Perspective from the United States Solar Energy Technologies Office

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