DataVXACS Energy LettersPaper
journal article·2024-02-09

Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis

Ziyi Liu, Jiyun Zhang, Gaofeng Rao, Zijian Peng, Yixing Huang, Simon Arnold, Bowen Liu, Can Deng, Chen Li, Heng Li, Hanxiang Zhi, Zhi Zhang, Wenke Zhou, Jens Hauch, Chaoyi Yan, Christoph J. Brabec, Yicheng Zhao

ACS Energy Letters· Volume 9· Issue 2
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Source abstract

Abstract

Obtaining highly stable metal-halide perovskites is crucial for the commercialization of perovskite solar cells. However, current methods for evaluating perovskite stability mainly rely on a time-consuming and resource-intensive aging process. Here, we demonstrate a spectral learning-based methodology that enables the prediction of perovskite stability by leveraging the features in photoluminescence and absorption spectra of fresh perovskite films. This methodology circumvents the long-term aging process by combining a custom-developed spectral feature extraction algorithm and an integrated voting machine learning model. By integration of the early diagnosis program with high-throughput experiments, the prediction accuracy for stable perovskites exceeds 86% in 160 fresh samples. The universality is further examined by another batch of 224 fresh samples fabricated through different processing conditions. Finally, the early diagnosis of perovskite films is successfully translated to enhanced stability in perovskite solar cells. Our work provides a new pathway to accelerate the discovery and development of stable perovskite films.
Source: openalex_inverted_index · Quality: baseline

Research context

Electronic materials

OpenAlex topics: Perovskite Materials and Applications · Quantum Dots Synthesis And Properties · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

University of Electronic Science and Technology of China (UESTC), State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Integrated Circuit Science and Engineering, Chengdu 611731, P. R. China

Helmholtz-Institute Erlangen-Nürnberg (HI ERN), Erlangen 91058, Germany

Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Department of Material Science, Materials for Electronics and Energy Technology (i-MEET), Erlangen 91058, Germany

Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Department of Radiation Oncology, Erlangen 91058, Germany

Research Center of Position Engineering, College of National Defense Engineering, Army Engineering University of PLA, Nanjing 210007, P. R. China

State Key Laboratory for Disaster Prevention & Mitigation of Explosion & Impact, Army Engineering University of PLA, Nanjing 210007, P. R. China

Funding

National Natural Science Foundation of China · Excellent Young Scientists Fund

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