DataVXAdvanced Energy MaterialsPaper
journal article·2023-10Open access

Machine Learning Enhanced High‐Throughput Fabrication and Optimization of Quasi‐2D Ruddlesden–Popper Perovskite Solar Cells (Adv. Energy Mater. 38/2023)

Nastaran Meftahi, Maciej Adam Surmiak, Sebastian O. Fürer, Kevin James Rietwyk, Jianfeng Lu, Sonia Ruiz Raga, Caria Evans, Monika Michalska, Hao Deng, David P. McMeekin, Tuncay Alan, Doojin Vak, Anthony S.R. Chesman, Andrew J. Christofferson, David A. Winkler, Udo Bach, Salvy P. Russo

Advanced Energy Materials· Volume 13· Issue 38
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Source abstract

Abstract

Perovskite Solar Cells In article number 2203859, Nastaran Meftahi, Maciej Adam Surmiak, Andrew J. Christofferson, and co-workers present a methodology for efficiently exploring the vast compositional space of quasi-2D Ruddlesden-Popper perovskite solar cells using a combination of machine learning and a reproducible, combinatorial high-throughput robotic fabrication process. This methodology provides a platform for further optimization of solar cell power conversion efficiency and stability.
Source: openalex_inverted_index · Quality: baseline

Research context

Electronic materials

OpenAlex topics: Perovskite Materials and Applications

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Affiliations

ARC Centre of Excellence in Exciton Science School of Science RMIT University Melbourne Victoria 3001 Australia

Department of Chemical and Biological Engineering Monash University Victoria 3800 Australia

ARC Centre of Excellence in Exciton Science Monash University Victoria 3800 Australia

CSIRO Manufacturing Clayton Victoria 3168 Australia

State Key Laboratory of Silicate Materials for Architectures Wuhan University of Technology Wuhan 430070 China

Elsa Reichmanis Laboratory School of Chemistry and Biochemistry Georgia Institute of Technology Atlanta Georgia 30332 USA

Department of Materials Engineering Monash University Victoria 3800 Australia

Department of Material Science and Engineering Monash University Clayton Victoria 3800 Australia

Department of Mechanical and Aerospace Engineering Faculty of Engineering Monash University Clayton Victoria 3800 Australia

Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science La Trobe University Melbourne Victoria 3086 Australia

Advanced Materials and Healthcare Technologies School of Pharmacy University of Nottingham Nottingham NG7 2RD UK

Monash Institute of Pharmaceutical Sciences Monash University Parkville 3052 Australia

References

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