Physiochemical machine learning models predict operational lifetimes of CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> perovskite solar cells-Reference-Cited by-同舟云学术

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Physiochemical machine learning models predict operational lifetimes of CH₃NH₃PbI₃ perovskite solar cells

Published:2024 Issue:16 Volume:12 Page:9730-9746
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Dunlap-Shohl Wiley A.¹²³^ORCID,Meng Yuhuan¹²³,Sunkari Preetham P.¹²³,Beck David A. C.¹⁴,Meilă Marina⁴⁵,Hillhouse Hugh W.¹²³

Affiliation:

1. Department of Chemical Engineering, University of Washington, Seattle, USA

2. Clean Energy Institute, University of Washington, Seattle, USA

3. Molecular Engineering and Science Institute, University of Washington, Seattle, USA

4. eScience Institute, University of Washington, Seattle, USA

5. Department of Statistics, University of Washington, Seattle, USA

Abstract

First machine learning predictions of perovskite solar cell service lifetimes.

Funder

Solar Energy Technologies Office

University of Washington

National Science Foundation

Molecular Engineering and Sciences Institute, University of Washington

Clean Energy Institute

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA06668A

Reference47 articles.

1. Thermal Behavior of Methylammonium Lead-Trihalide Perovskite Photovoltaic Light Harvesters

2. The Role of Oxygen in the Degradation of Methylammonium Lead Trihalide Perovskite Photoactive Layers

3. Temperature Dynamics of MAPbI3 and PbI2 Photolysis: Revealing the Interplay between Light and Heat, Two Enemies of Perovskite Photovoltaics

4. Reversible Hydration of CH3NH3PbI3 in Films, Single Crystals, and Solar Cells

5. Transformation of the Excited State and Photovoltaic Efficiency of CH3NH3PbI3 Perovskite upon Controlled Exposure to Humidified Air

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpreting accelerated tests on perovskite modules using photooxidation of MAPbI3 as an example;Cell Reports Physical Science;2024-05

2. Stability forecasting of perovskite solar cells utilizing various machine learning and deep learning techniques;Journal of Optics;2024-04-16

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