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Papers citing Machine-Learning-Accelerated Perovskite Crystallization

  1. Adapting Explainable Machine Learning to Study Mechanical Properties of 2D Hybrid Halide Perovskites

    Advanced Functional Materials · 2024

    Yuxuan Yao, Dan Han, Kieran B. Spooner, Xiaoyu Jia, H. Ebert, David O. Scanlon, Harald Oberhofer

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  2. Self-Driving Laboratories for Chemistry and Materials Science

    Chemical Reviews · 2024

    Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo‐García, Ella Miray Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth‐Kalthoff, Martin T. Seifrid, Alán Aspuru‐Guzik

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  3. Machine learning for perovskite optoelectronics: a review

    Advanced Photonics · 2024

    Feiyue Lu, Yanyan Liang, Nana Wang, Lin Zhu, Jianpu Wang

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  4. Machine learning for screening and predicting the best surface modifiers for a rational optimization of efficient perovskite solar cells

    APL Energy · 2024

    Mattia Ragni, Fabiola Faini, Matteo Degani, Silvia Cavalli, Ian Postuma, Giulia Grancini

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  5. Repeatable Perovskite Solar Cells through Fully Automated Spin-Coating and Quenching

    ACS Applied Materials & Interfaces · 2024

    Daniel O. Baumann, Felix Laufer, Julie Roger, Roja Singh, Mohammad Gholipoor, Ulrich W. Paetzold

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  6. Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices

    Journal of Energy Chemistry · 2024

    Bonghyun Jo, Wenning Chen, Hyun Suk Jung

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  7. Machine Learning Approaches in Advancing Perovskite Solar Cells Research

    Advanced Theory and Simulations · 2024

    Subham Subba, Pratika Rai, Suman Chatterjee

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  8. A comprehensive review of machine learning applications in perovskite solar cells: Materials discovery, device performance, process optimization and systems integration

    Materials Today Energy · 2024

    Ling Mao, Changying Xiang

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  9. Machine learning-assisted design of high-performance perovskite photodetectors: a review

    Advanced Composites and Hybrid Materials · 2024

    Xiaohui Fiona Li, Yongxiang Mai, Chunfeng Lan, Fu Yang, Putao Zhang, Shengjun Li

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  10. Accelerating the design and manufacturing of perovskite solar cells using a one-shot automated machine learning framework

    Journal of Cleaner Production · 2024

    Yunwu Yang, Guozhu Jia

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  11. An Intermediate-Aided Perovskite Phase Purification for High-Performance Solar Cells

    Journal of the American Chemical Society · 2024

    Jinghao Ge, Yiru Huang, Xuexiao Chen, Yong Wang, Hanqing Zeng, Yiran Tao, Zixin Zeng, Lu Zhang, Lu Zhang, Lei Zhang, Lei Zhang, Xinhui Lu, Sai‐Wing Tsang, Jiaxue You, Alex K.‐Y. Jen, Shengzhong Frank Liu

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

    Energy & Environmental Science · 2025

    Felix Laufer, Markus Götz, Ulrich W. Paetzold

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  13. Indoor light energy harvesting perovskite solar cells: from device physics to AI-driven strategies

    Materials Horizons · 2025

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

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  14. Lead-free perovskites for next-generation applications: a comprehensive computational and data-driven review

    Materials Advances · 2025

    Syeda Kinza Fatima, Reem H. Alzard, Riffat Amna, Mohammed H.H. Alzard, Kaibo Zheng, Mohamed A. Abdellah

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  15. Machine learning for predicting and improving perovskite properties

    Semiconductors and semimetals · 2025

    Xuesi Liu, Hualin Zhan

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  16. Automated nanoarchitectonics for networks filling by Prussian blue single crystals through an intermittentto-flow conversion

    Chemical Engineering Journal · 2025

    Zixuan Wan, Wei Zhang, Tianzi Li, Lingling Xia, Ruijuan Qi, Ming Zhe Hu

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  17. Atomistic Origin of Microsecond Carrier Lifetimes at Perovskite Grain Boundaries: Machine Learning-Assisted Nonadiabatic Molecular Dynamics

    Journal of the American Chemical Society · 2025

    Yifan Wu, Weibin Chu, Bipeng Wang, Oleg V. Prezhdo

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  18. Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

    Advanced Functional Materials · 2025

    Tatiane Pretto, Sergey V. Dayneko, Antoine Pavesic, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov

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  19. Science acceleration and accessibility with self-driving labs

    Nature Communications · 2025

    Richard B. Canty, Jeffrey A. Bennett, Keith A. Brown, Tonio Buonassisi, Sergei V. Kalinin, John R. Kitchin, Benji Maruyama, R. G. Moore, Joshua Schrier, Martin T. Seifrid, Shijing Sun, Tejs Vegge, Milad Abolhasani

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  20. Perovskite Single Crystals for Detection of High‐Energy Ionizing Radiations

    physica status solidi (RRL) - Rapid Research Letters · 2025

    Sarvani Jowhar Khanam, Sumit Chhangani, Anuradha Bera, Srivani Dharavath, Banavoth Murali

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

    Matter · 2025

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

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  22. Progress of Machine Learning in Molecular Crystal Design and Crystallization Development

    Engineering · 2025

    Shengzhe Jia, Yiming Ma, Yuechao Cao, Zhenguo Gao, Sohrab Rohani, Junbo Gong, Jingkang Wang

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  23. Artificial Intelligence‐Driven Approaches in Semiconductor Research

    Advanced Materials · 2025

    Yanping Zheng, Hao Xu, Zhexin Li, Linlin Li, Yongchao Yu, Pengfei Jiang, Yanmeng Shi, Jing Zhang, Yuqing Huang, Qing Luo, Zheng Lou, Lili Wang

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  24. Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations

    Communications Physics · 2025

    Jaehoon Cha, Steven Tendyra, Alvin J. Walisinghe, Adam R. Hill, Susmita Basak, Peter R. Spackman, Michael W. Anderson, Jeyan Thiyagalingam

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  25. Optimization of energy grid efficiency with machine learning: A comprehensive review of challenges and opportunities

    Renewable and Sustainable Energy Reviews · 2025

    Samson Kolawole Fasogbon, Ibrahim Ademola Fetuga, Ayodele Temitope Oyeniran, Samuel Adavize Shaibu, Samuel Olabode Afolabi, Tochukwu Anthony Ndokwu, Seyi Rufus Oluwadare, John Temitope Onafowokan, Opeyemi Samuel Eso, Victor Blessed Bassey

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  26. Comparative convolutional neural networks for perovskite solar cell PCE predictions

    npj Computational Materials · 2025

    Milan Harth, Kishore Kumar Devarepally, Said Kassou, Kenza El Idrissi, Ritesh Kant Gupta, Yonatan Daniel, Ofry Makdasi, Iris Visoly‐Fisher, Alessio Gagliardi

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  27. Machine learning for 2D material–based devices

    Materials Science and Engineering R Reports · 2025

    Yuan Yan, Yimu Yang, Yinchang Ma, Kadin Reed, Shengzhi Li, Shichao Pei, Zhenwen Liang, Xixiang Zhang, Xixiang Zhang, Yi Wan, Xiangliang Zhang, Xiangliang Zhang, Rongyu Lin

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  28. Perovskite Materials for Next‐Generation Spectral Imaging: From Tunable Optoelectronics to Advanced Device Architectures

    Advanced Optical Materials · 2025

    Na Zhang, Na Zhang, Xuechan Lang, Jiang Ban, Nan Zhang, Nan Zhang, Chao Liang, Tingkui Mu

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  29. Bridging artificial intelligence with photovoltaics

    Cell Reports Physical Science · 2025

    Sang‐Won Lee, Seungtae Lee, Solhee Lee, Ji-Seong Hwang, Wonwook Oh, Kirsten T. Winther, Dong Un Lee, Dong-Hwan Kim, Adam C. Nielander, Thomas Francisco Jaramillo, Yoonmook Kang, Hae‐Seok Lee

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  30. Review: machine learning-driven design and discovery of halide perovskite materials

    Journal of Materials Science · 2025

    Nazir Mustapha, Mokhtar Hjiri

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  31. Interpretable machine learning on a curated dataset identifies chemical descriptors governing 2D perovskite solar cell performance

    Solar Energy · 2025

    Migon Choi, Aiden Sable, Nicolas Ramos, Richard J. Sheridan, Olivier A. Delaire, Hai Li, David B. Mitzi, L. Catherine Brinson

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  32. Material Modification Strategies for High-Performance Perovskite Optoelectronics: From Solar Cells to Photocatalysis

    ACS Applied Energy Materials · 2025

    Luyang Zhang, Bin Guan, Lei Zhu, Tiankui Zhu, Zhongqi Zhuang, Junyan Chen, Xuehan Hu, Chenyu Zhu, Sikai Zhao, Junjie Gao, Kaiyou Shu, Hongtao Dang, Yuan Li, L.X. Xu, Wenbo Zeng, Shuai Chen, Linhui Wang, Can Zhu, Jiaming He, Qinghan Xian, Mingyang Yang, Zhen Huang

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  33. Machine Learning-assisted Discovery of Multifunctional Coordination in Multicomponent Composites

    Chinese Journal of Polymer Science · 2025

    Zi-Ran Guo, Sen Xue, Lu He, Zi‐Long Xie, Tian-Hao Yang, Qiang Fu

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  34. Additive and interface engineering for narrow-bandgap Pb–Sn perovskite solar cells toward tandem applications

    Journal of Materials Chemistry A · 2026

    Du Hyeon Ryu, Seongbeom Lee, Seungjin Lee, Bumjoon Kim, So Min Park

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  35. AI-driven design and applications of quantum dots

    Nano Today · 2026

    Prince Kumar Soni, Manmohan Lal Satnami, Rekha Nagwanshi, Yogyata Chawre, Ankita Beena Kujur, Akash Sinha, Pinki Miri, Indrapal Karbhal, Kallol Kumar Ghosh

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  36. Advances and prospects of lead-free metal halide perovskites for solar hydrogen fuel generation

    Transition Metal Chemistry · 2026

    Alberto A. Boretti

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  37. Temperature‐Dependent Crystallization in Two‐Step Perovskite Deposition Revealed by In Situ GIWAXS and Machine Learning‐Guided Analysis

    Advanced Functional Materials · 2026

    Ahmed Saadawy, Shaimaa Hassanein, Yasser Hassan, Tim Kodalle, Ahmed Fouad Musa, Arian Gashi, Tamer M. Khattab, Tarek A. Kandiel, Carolin M. Sutter‐Fella, Maged Abdelsamie

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

    Advanced Energy Materials · 2026

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

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  39. Halide Perovskite Single Crystals: A Promising Semiconductor Platform for Advanced X-ray Detection

    Chemistry of Materials · 2026

    Yunxia Zhang, Xinrong Wang, Yucheng Liu, S Liu

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  40. Fabrication and comprehensive classification of Perovskite-based solar materials methodologies for sustainable energy applications

    Canadian Metallurgical Quarterly · 2026

    Divya Lande, Nilesh Sureshrao Ugemuge, Shruti Prabhakar Dhale, Ashvini Raju Pusdekar, Aarti Muley

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  41. Accelerating the design of ABO3‑δ perovskite electrolytes via an interpretable machine learning platform with fused multi‑source descriptors

    Journal of Alloys and Compounds · 2026

    Xiuyun Zhai, Mingtong Chen, Liu Y, Yonghong Tan, Zhe Luo, Bengang Bao, Ling Zhou, Huige Hu

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  42. Perovskite solar cells: Past, present, and future

    Journal of Energy Chemistry · 2026

    Xufeng Ling, Tongle Bu, W J Chen, Meng Li, Xiaodong Li, Jia Liang, C B Liu, Zonghao Liu, Deying Luo, Chunqing Ma, Anyi Mei, Licheng Tan, Hong Zhang, Yiqiang Zhang, Lichen Zhao, Jianyu Yuan, Yixin Zhao

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  43. Engineering stability in metal halide perovskites: From fundamental strategies to high-performance sensing applications

    TrAC Trends in Analytical Chemistry · 2026

    Xiaochun Hu, Huilin Li, Mengmeng Gao, Yibo Song, Shijie Li, Mingfei Pan, Shuo Wang

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