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RESEARCH PAPER · Matter · 2022

Opportunities for machine learning to accelerate halide-perovskite commercialization and scale-up

Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi

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Opportunities for machine learning to accelerate halide-perovskite commercialization and scale-upOriginalOrganic Hole‐Transport Layers for Efficient, Stable, and Scalable Inverted Perovskite Solar Cells363High-throughput computations and machine learning for halide perovskite discovery32Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives53The Spring of Processing Chemistry in Perovskite Solar Cells–Bayesian Optimization16Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data27The role of machine learning in perovskite solar cell research42Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques35Machine Learning‐Accelerated Development of Perovskite Optoelectronics Toward Efficient Energy Harvesting and Conversion3Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis14Experimentally Validated Dynamic Equivalent Circuit Model of Perovskite Solar Cells: Utilizing Machine Learning Algorithms for Parameter Extraction Using I–V and C–V Characteristics7PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys17Structural divergence of molecular hole selective materials for viable p-i-n perovskite photovoltaics: a comprehensive review17Integration of Multijunction Absorbers and Catalysts for Efficient Solar‐Driven Artificial Leaf Structures: A Physical and Materials Science Perspective25A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning14Enhancing Durability of Organic–Inorganic Hybrid Perovskite Solar Cells in High‐Temperature Environments: Exploring Thermal Stability, Molecular Structures, and AI Applications18Harnessing Beneficial Microbes for Drought Tolerance: A Review of Ecological and Agricultural Innovations78Bibliometric analysis of natural language processing using CiteSpace and VOSviewer11Accelerating optimization of halide perovskites: two blueprints for automation2Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication36From optoelectronics to scintillation applications: the versatility of lead-free halide double perovskites21Industrialization of perovskite solar cell fabrication: strategies to achieve high-throughput vapor deposition processes28Unlocking a self-driving research workflow for perovskite photovoltaics12Data-driven insights to tackle photo-induced phase segregation for mixed-halide perovskite solar cells11From lab to fab: Bridging the quality divide of scalable perovskite solar cells thin-films2Prospects of AI in advancing green hydrogen production: From materials to applications9Polarized Luminescence in Halide Perovskite Nanomaterials24Current technologies development for renewable energy storage: a review1Inferring Material Parameters from Current–Voltage Curves in Organic Solar Cells via Neural Network‐Based Surrogate Models5Single Crystals of Vanadium Oxides as a Lens for Understanding Structural and Electronic Phase Transformations, Ion Transport, Chemo-Mechanical Coupling, and Electrothermal Neuronal Emulation13Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces12Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories1Machine learning applications in the design, optimization, and manufacturing of perovskite solar cells3Multi-model framework for intelligent research and development of super-hydrophilic coatings0Sequential Evaporation for Scalable Hybrid Processing of Perovskite/Silicon Tandem Solar Cells0

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  1. Organic Hole‐Transport Layers for Efficient, Stable, and Scalable Inverted Perovskite Solar Cells

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  2. High-throughput computations and machine learning for halide perovskite discovery

    MRS Bulletin · 2022-09-01

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  3. Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

    Advanced Energy Materials · 2022-10-06

    Chang Woo Myung, Amir Hajibabaei, Ji‐Hyun Cha, Miran Ha, Junu Kim, Kwang S. Kim

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  4. The Spring of Processing Chemistry in Perovskite Solar Cells–Bayesian Optimization

    The Journal of Physical Chemistry Letters · 2022-11-14

    Qizhen Song, Yang Bai, Qi Henry Chen

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  5. Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data

    Solar RRL · 2023-01-19

    Felix Laufer, Sebastian Ziegler, Fabian Schackmar, Edwin A. Moreno Viteri, Markus Götz, Charlotte Debus, Fabian Isensee, Ulrich W. Paetzold

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  6. The role of machine learning in perovskite solar cell research

    Journal of Alloys and Compounds · 2023-06-01

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  7. Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques

    Advanced Energy and Sustainability Research · 2023-08-23

    Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy S. Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam

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  8. Machine Learning‐Accelerated Development of Perovskite Optoelectronics Toward Efficient Energy Harvesting and Conversion

    Advanced Energy and Sustainability Research · 2023-08-30

    Baian Chen, Rui Chen, Bolong Huang

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

    Journal of Materials Chemistry A · 2024-01-01

    Alexander Wieczorek, Austin G. Kuba, Jan Sommerhäuser, Luis Nicklaus Caceres, Christian M. Wolff, Sebastian Siol

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  10. Experimentally Validated Dynamic Equivalent Circuit Model of Perovskite Solar Cells: Utilizing Machine Learning Algorithms for Parameter Extraction Using I–V and C–V Characteristics

    IEEE Transactions on Instrumentation and Measurement · 2024-01-01

    Eman F. Sawires, Zahraa Ismail, Fathy Z. Amer, Sameh Osama Abdellatif

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  11. PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys

    Digital Discovery · 2024-01-01

    Deniz N. Cakan, Rishi E. Kumar, Eric Oberholtz, Moses Kodur, Jack R. Palmer, Apoorva Gupta, Ken Kaushal, Hendrik M. Vossler, David P. Fenning

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  12. Structural divergence of molecular hole selective materials for viable p-i-n perovskite photovoltaics: a comprehensive review

    Journal of Materials Chemistry A · 2024-01-01

    Paramaguru Ganesan, Mohammad Khaja Nazeeruddin, Peng Fei Gao

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  13. Integration of Multijunction Absorbers and Catalysts for Efficient Solar‐Driven Artificial Leaf Structures: A Physical and Materials Science Perspective

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    Thomas Hannappel, Sahar Shekarabi, Wolfram Jaegermann, Erich Runge, Jan P. Hofmann, Roel van de Krol, Matthias M. May, Agnieszka Paszuk, Franziska Heß, Arno Bergmann, Andreas Bund, Christian Cierpka, Christian Dreßler, Fabio Dionigi, Dennis Friedrich, Marco Favaro, Stefan Krischok, Mario Kurniawan, Kathy Lüdge, Yong Lei, Beatriz Roldán Cuenya, Peter Schaaf, Rüdiger Schmidt‐Grund, W. G. Schmidt, Peter Strasser, Eva Unger, Manuel F. Vasquez-Montoya, Dong Wang, Hongbin Zhang

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  14. A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning

    Computational Materials Science · 2024-05-27

    Arun Mannodi‐Kanakkithodi

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  15. Enhancing Durability of Organic–Inorganic Hybrid Perovskite Solar Cells in High‐Temperature Environments: Exploring Thermal Stability, Molecular Structures, and AI Applications

    Advanced Functional Materials · 2024-11-19

    Shimiao Su, Tae Kyu Ahn, Yun Xia Yang

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  16. Harnessing Beneficial Microbes for Drought Tolerance: A Review of Ecological and Agricultural Innovations

    Agriculture · 2024-12-05

    Grzegorz Mikiciuk, Tymoteusz I. Miller, Anna Kisiel, Danuta Cembrowska-Lech, Małgorzata Mikiciuk, Adrianna Łobodzińska, Kamila Łucja Bokszczanin

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  17. Bibliometric analysis of natural language processing using CiteSpace and VOSviewer

    Natural Language Processing Journal · 2024-12-19

    Xiuming Chen, Wenjie Tian, Haoyun Fang

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  18. Accelerating optimization of halide perovskites: two blueprints for automation

    Digital Discovery · 2025-01-01

    Hilal Aybike Can, Daniel Anthony Jacobs, Nicolas Fürst, Christophe Ballif, Christian M. Wolff

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  19. Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication

    Energy & Environmental Science · 2025-01-01

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  20. From optoelectronics to scintillation applications: the versatility of lead-free halide double perovskites

    Materials Horizons · 2025-01-01

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  21. Industrialization of perovskite solar cell fabrication: strategies to achieve high-throughput vapor deposition processes

    EES solar. · 2025-01-01

    Julian Petry, Viktor Škorjanc, Alexander Diercks, Thomas Feeney, Amedeo Morsa, Sara Rose Kimmig, Jens Baumann, F. Löffler, Stefan Auschill, Joshua Damm, Daniel Baumann, Felix Laufer, Jona Kurpiers, Michael Müller, Lars Korte, Steve Albrecht, Marcel Roß, Ulrich W. Paetzold, Paul Faßl

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  22. Unlocking a self-driving research workflow for perovskite photovoltaics

    Matter · 2025-06-01

    Lifang Xie, Yalan Zhang, Noah Peterkes, Xiao‐Fen Li, Yike Guo, Yuanyuan Zhou

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  23. Data-driven insights to tackle photo-induced phase segregation for mixed-halide perovskite solar cells

    Chemical Engineering Journal · 2025-07-06

    Yuhui Jiang, Yu Zheng, Jingfan Li, Yang Pu, Liming Du, Yangyang Guo, Ning Jia, Xu Zhang, Ye. S. Mukhametkarimov, Ruihao Chen, Zhe Liu, Hongqiang Wang

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  24. From lab to fab: Bridging the quality divide of scalable perovskite solar cells thin-films

    Sustainable materials and technologies · 2025-08-09

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  25. Prospects of AI in advancing green hydrogen production: From materials to applications

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  26. Polarized Luminescence in Halide Perovskite Nanomaterials

    Advanced Materials · 2025-09-04

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  27. Current technologies development for renewable energy storage: a review

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  28. Inferring Material Parameters from Current–Voltage Curves in Organic Solar Cells via Neural Network‐Based Surrogate Models

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  29. Single Crystals of Vanadium Oxides as a Lens for Understanding Structural and Electronic Phase Transformations, Ion Transport, Chemo-Mechanical Coupling, and Electrothermal Neuronal Emulation

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  30. Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces

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  31. Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

    Advanced Energy Materials · 2026-03-27

    Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung

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  32. Machine learning applications in the design, optimization, and manufacturing of perovskite solar cells

    Solar Energy · 2026-04-09

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  33. Multi-model framework for intelligent research and development of super-hydrophilic coatings

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  34. Sequential Evaporation for Scalable Hybrid Processing of Perovskite/Silicon Tandem Solar Cells

    ACS Applied Materials & Interfaces · 2026-06-12

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