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Papers citing Machine-Learning-Accelerated Perovskite Crystallization

  1. Navigating the design space of inorganic materials synthesis using statistical methods and machine learning

    Dalton Transactions · 2020

    Erick J. Braham, Rachel D. Davidson, Mohammed Al‐Hashimi, Raymundo Arróyave, Sarbajit Banerjee

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  2. Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot

    Advanced Materials · 2020

    Robert W. Epps, Michael Bowen, Amanda A. Volk, Kameel Abdel‐Latif, Suyong Han, Kristofer G. Reyes, Aram Amassian, Milad Abolhasani

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  3. Robot-Accelerated Perovskite Investigation and Discovery

    Chemistry of Materials · 2020

    Zhi Li, Mansoor Ani Najeeb, Liana Alves, Alyssa Sherman, Venkateswaran Shekar, Peter L. Cruz Parrilla, Ian M. Pendleton, Wesley Wang, Philip W. Nega, Mat­thias Zeller, Joshua Schrier, Alexander J. Norquist, Emory M. Chan

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  4. Interface Engineering Driven Stabilization of Halide Perovskites against Moisture, Heat, and Light for Optoelectronic Applications

    Advanced Energy Materials · 2020

    Aditya Narayan Singh, Sandeep Kajal, Junu Kim, Junu Kim, Atanu Jana, Jin Young Kim, Jin Young Kim, Kwang S. Kim

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  5. Machine learning for halide perovskite materials

    Nano Energy · 2020

    Lei Zhang, Mu He, Shaofeng Shao

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  6. Flow Synthesis of Metal Halide Perovskite Quantum Dots: From Rapid Parameter Space Mapping to AI-Guided Modular Manufacturing

    Matter · 2020

    Kameel Abdel‐Latif, Fazel Bateni, Steven H. Crouse, Milad Abolhasani

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  7. Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning

    arXiv (Cornell University) · 2020

    John M. Howard, Qiong Wang, Lee, Erica, Richa Lahoti, Tao Gong, Meghna Srivastava, Antonio Abate, Marina S. Leite

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  8. Pressing challenges of halide perovskite thin film growth

    APL Materials · 2020

    Tatiana Soto‐Montero, Wiria Soltanpoor, Monica Morales‐Masis

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  9. Intelligent Microfluidics: The Convergence of Machine Learning and Microfluidics in Materials Science and Biomedicine

    Matter · 2020

    Edgar A. Galan, Haoran Zhao, Xukang Wang, Qionghai Dai, Wilhelm T. S. Huck, Shaohua Ma

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  10. Low‐Dimensional Metal Halide Perovskite Photodetectors

    Advanced Materials · 2020

    Hsin-Ping Wang, Siyuan Li, Xinya Liu, Zhifeng Shi, Xiaosheng Fang, Jr‐Hau He

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  11. Accelerated design of promising mixed lead-free double halide organic–inorganic perovskites for photovoltaics using machine learning

    Nanoscale · 2021

    Yilei Wu, Shuaihua Lu, Ming‐Gang Ju, Qionghua Zhou, Jinlan Wang

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  12. High throughput screening of novel tribromide perovskite materials for high-photovoltage solar cells

    Journal of Materials Chemistry A · 2021

    Shi Chen, Lihua Zhang, Yanliang Liu, Zhuoqiong Zhang, Yang Li, Weizheng Cai, Haiyan Lv, Yanchun Qin, Qianlong Liao, Bin Zhou, Ting Yan, Jie Ren, Shuming Chen, X.‐D. Xiang, Songyuan Dai, Shu Kong So, Xingzhu Wang, Shihe Yang, Baomin Xu

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  13. Machine Learning Accelerated Insights of Perovskite Materials

    Springer series in materials science · 2021

    Shuaihua Lu, Yilei Wu, Ming‐Gang Ju, Jinlan Wang

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  14. Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design

    Energy & Environmental Science · 2021

    Zhiqiang Niu, Valerie J. Pinfield, Billy Wu, Huizhi Wang, Kui Jiao, Dennis Y.C. Leung, Jin Xuan

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  15. A data fusion approach to optimize compositional stability of halide perovskites

    Matter · 2021

    Shijing Sun, Armi Tiihonen, Felipe Oviedo, Zhe Liu, Janak Thapa, Yicheng Zhao, Noor Titan Putri Hartono, Anuj Goyal, Thomas Heumueller, Clio Batali, Alex Encinas, Jason J. Yoo, Ruipeng Li, Zekun Ren, Ian Marius Peters, Christoph Josef Brabec, Moungi G. Bawendi, Vladan Stevanović, John Sheridan Fisher, Tonio Buonassisi

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  16. Bimetallic-Derived Catalysts and Their Application in Simultaneous Upgrading of CO2 and Ethane

    Matter · 2021

    Zhenhua Xie, Lea R. Winter, Jingguang G. Chen

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  17. Self-Driving Laboratories for Development of New Functional Materials and Optimizing Known Reactions

    Nanomaterials · 2021

    Mikhail A. Soldatov, Vera V. Butova, Danil M. Pashkov, Maria A. Butakova, P. V. Medvedev, Andrey V. Chernov, Alexander V. Soldatov

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  18. A robust low data solution: Dimension prediction of semiconductor nanorods

    Computers & Chemical Engineering · 2021

    Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang

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  19. Improving Data and Prediction Quality of High-Throughput Perovskite Synthesis with Model Fusion

    Journal of Chemical Information and Modeling · 2021

    Yuanqing Tang, Zhi Li, Mansoor Ani Najeeb, Hamed Eramian, Emory M. Chan, Alexander J. Norquist, D. Frank Hsu, Joshua Schrier

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  20. Nanoparticle synthesis assisted by machine learning

    Nature Reviews Materials · 2021

    Huachen Tao, Tianyi Wu, Matteo Aldeghi, Tony Wu, Alán Aspuru‐Guzik, Eugenia Kumacheva

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  21. Autonomous experimentation systems for materials development: A community perspective

    Matter · 2021

    Eric A. Stach, Brian DeCost, Aaron Gilad Kusne, Jason R. Hattrick-Simpers, Keith A. Brown, Kristofer G. Reyes, Joshua Schrier, Simon J. L. Billinge, Tonio Buonassisi, Ian T Foster, Carla Pedro Gomes, John M. Gregoire, Apurva Mehta, Joseph H. Montoya, Elsa Olivetti, Chiwoo Park, Eli Rotenberg, Semion K. Saikin, Sylvia Smullin, Valentin Stanev, Benji Maruyama

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  22. Photocatalytic Conversion of Methane: Recent Advancements and Prospects

    Angewandte Chemie International Edition · 2021

    Qi Li, Yuxing Ouyang, Hongliang Li, Liangbing Wang, Jie Zeng

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  23. Photocatalytic Conversion of Methane: Recent Advancements and Prospects

    Angewandte Chemie · 2021

    Qi Li, Yuxing Ouyang, Hongliang Li, Liangbing Wang, Jie Zeng

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  24. Is machine learning redefining the perovskite solar cells?

    Journal of Energy Chemistry · 2021

    Nishi Parikh, Meera R. Karamta, Neha Yadav, Mohammad Mahdi Tavakoli, Daniel Prochowicz, Seçkin Akın, Abul Kalam, Soumitra Satapathi, Pankaj Yadav

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  25. Machine Learning Roadmap for Perovskite Photovoltaics

    The Journal of Physical Chemistry Letters · 2021

    Meghna Srivastava, John M. Howard, Tao Gong, Mariama Rebello Sousa Dias, Marina S. Leite

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  26. Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries

    Advanced Materials · 2021

    Leonardo Velasco, Juan S. Castillo, Mohana Veerraju Kante, Jhon Jairo Olaya, Pascal Friederich, Horst Hahn

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  27. Applied Machine Learning for Developing Next‐Generation Functional Materials

    Advanced Functional Materials · 2021

    Filip Dinic, Kamalpreet Singh, Tony Dong, Milad Rezazadeh, Zhibo Wang, Ali Khosrozadeh, Tiange Yuan, Oleksandr Voznyy

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  28. Roadmap on organic–inorganic hybrid perovskite semiconductors and devices

    APL Materials · 2021

    Lukas Schmidt‐Mende, Vladimir Dyakonov, Selina Olthof, Feray Ünlü, Khan Lê, Sanjay Mathur, Andrei D. Karabanov, Doru Constantin Lupascu, Laura M. Herz, Alexander Hinderhofer, Frank Schreiber, Alexey Chernikov, David A. Egger, Oleksandra Shargaieva, Caterina Cocchi, Eva Unger, Michael Saliba, Mahdi Malekshahi Byranvand, Martin Kroll, Frederik Nehm, Karl Leo, Alex Redinger, Julian Höcker, Thomas Kirchartz, Jonathan H. Warby, Emilio Gutierrez‐Partida, Dieter Neher, Martin Stolterfoht, Uli Würfel, Moritz Unmüssig, Jan Herterich, Clemens Baretzky, John Mohanraj, Mukundan Thelakkat, Clément Maheu, Wolfram Jaegermann, Thomas Mayer, Janek Rieger, Thomas Fauster, Daniel Niesner, Fengjiu Yang, Steve Albrecht, Thomas Riedl, Azhar Fakharuddin, Maria Vasilopoulou, Yana Vaynzof, Davide Moia, Joachim Maier, Marius Franckevičius, Vidmantas Gulbinas, Ross A. Kerner, Lianfeng Zhao, Barry P. Rand, Nadja Glück, Thomas Bein, Fabio Matteocci, Luigi Angelo Castriotta, Aldo Di Carlo, Matthias Scheffler, Claudia Draxl

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  29. Recent advances in autonomous synthesis of materials

    ChemPhysMater · 2021

    Yucen Li, Lingling Xia, Yi‐Ming Fan, Qinyue Wang, Ming Zhe Hu

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  30. Accelerate Synthesis of Metal–Organic Frameworks by a Robotic Platform and Bayesian Optimization

    ACS Applied Materials & Interfaces · 2021

    Yunchao Xie, Chi Zhang, Heng Deng, Bujingda Zheng, Jheng‐Wun Su, Kenyon Shutt, Jian Lin

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  31. High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications

    Advanced Energy Materials · 2021

    Qingsong Wang, Leonardo Velasco, Ben Breitung, Volker Presser

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  32. A machine vision tool for facilitating the optimization of large-area perovskite photovoltaics

    npj Computational Materials · 2021

    Nina Taherimakhsousi, Mathilde Fievez, Benjamin P. MacLeod, Edward P. Booker, Emmanuelle Fayard, Muriel Matheron, Matthieu Manceau, Stéphane Cros, Solenn Berson, Curtis P. Berlinguette

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  33. The evolution and future of metal halide perovskite-based optoelectronic devices

    Matter · 2021

    Shengfan Wu, Ziming Chen, Hin‐Lap Yip, Alex K.‐Y. Jen

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  34. From Stochastic Self‐Assembly of Nanoparticles to Nanostructured (Photo)Electrocatalysts for Renewable Power‐to‐X Applications via Scalable Flame Synthesis

    Advanced Functional Materials · 2021

    Thành Trần‐Phú, Rahman Daiyan, Xuan Minh Chau Ta, Rose Amal, Antonio Tricoli

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  35. Discovery of Lead‐Free Perovskites for High‐Performance Solar Cells via Machine Learning: Ultrabroadband Absorption, Low Radiative Combination, and Enhanced Thermal Conductivities

    Advanced Science · 2021

    Xia Cai, Yiming Zhang, Zejiao Shi, Ying Chen, Yujie Xia, Anran Yu, Yuanfeng Xu, Fengxian Xie, Hezhu Shao, Heyuan Zhu, Desheng Fu, Yiqiang Zhan, Hao Zhang

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  36. Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence

    Energy Materials · 2022

    Jiechun Liang, Tingting Wu2, Ziwei Wang, Yunduo Yu, Linfeng Hu, Huamei Li, Xiaohong Zhang, Xi Zhu, Yu Zhao

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  37. Development and Prospects of Halide Perovskite Single Crystal Films

    Advanced Electronic Materials · 2022

    Wenxiu Gao, Zhuolei Zhang, Rukai Xu, Emory M. Chan, Guoliang Yuan, Jun‐Ming Liu

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  38. Shedding light on the energy applications of emerging 2D hybrid organic-inorganic halide perovskites

    iScience · 2022

    Neng Li, Yufei Yang, Zuhao Shi, Zhigao Lan, Arramel Arramel, Peng Zhang, Wee‐Jun Ong, Jizhou Jiang, Jianfeng Lu

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  39. Active meta-learning for predicting and selecting perovskite crystallization experiments

    The Journal of Chemical Physics · 2022

    Venkateswaran Shekar, Gareth Nicholas, Mansoor Ani Najeeb, Margaret Zeile, Vincent Yu, Xiaorong Wang, Dylan Slack, Zhi Li, Philip W. Nega, Emory M. Chan, Alexander J. Norquist, Joshua Schrier, Sorelle A. Friedler

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  40. Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning

    The Journal of Physical Chemistry Letters · 2022

    John M. Howard, Qiong Wang, Meghna Srivastava, Tao Gong, Erica Lee, Antonio Abate, Marina S. Leite

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  41. Accelerated Design of High-Efficiency Lead-Free Tin Perovskite Solar Cells via Machine Learning

    International Journal of Precision Engineering and Manufacturing-Green Technology · 2022

    Taeju Bak, Kyusun Kim, Eunhyeok Seo, Jiye Han, Hyokyung Sung, Il Jeon, Im Doo Jung

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  42. Optical Characterization and Prediction with Neural Network Modeling of Various Stoichiometries of Perovskite Materials Using a Hyperregression Method

    Nanomaterials · 2022

    Soo Min Kim, Syed Dildar Haider Naqvi, Min Gu Kang, Hee‐eun Song, SeJin Ahn

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  43. Text Mining for Energy Materials

    Journal of Research in Science and Engineering · 2022

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  44. Vision for energy material design: A roadmap for integrated data-driven modeling

    Journal of Energy Chemistry · 2022

    Zhilong Wang, Yanqiang Han, Junfei Cai, An Chen, Jinjin Li

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

    Matter · 2022

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

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  46. High-Throughput Evaluation of Emission and Structure in Reduced-Dimensional Perovskites

    ACS Central Science · 2022

    Husna Anwar, Andrew K. Johnston, Suhas Mahesh, Kamalpreet Singh, Zhibo Wang, D.A. Kuntz, Isaac Tamblyn, Oleksandr Voznyy, Gilbert G. Privé, Edward Hartley Sargent

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  47. High-Throughput Synthesis of Thin Films for the Discovery of Energy Materials: A Perspective

    ACS Materials Au · 2022

    Shahram Moradi, Soumya Kundu, Makhsud I. Saidaminov

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  48. Review on Perovskite-Type Compound Using Machine Learning

    Science of Advanced Materials · 2022

    Taohong Zhang, Xueqiang Guo, Han Zheng, Yun Liu, Aziguli Wulamu, Han Chen, Xuxu Guo, Zhizhuo Zhang

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  49. Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization

    Chemistry of Materials · 2022

    Mansoor Ani Najeeb, Rodolfo Keesey, Margaret Zeile, Venkateswaran Shekar, Zhi Li, Nicholas Leiby, Mat­thias Zeller, Emory M. Chan, Joshua Schrier, Alexander J. Norquist

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  50. Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction

    Molecular Informatics · 2022

    Simon Johansson, Hampus Gummesson Svensson, Esben Jannik Bjerrum, Alexander Schliep, Morteza Haghir Chehreghani, Christian Tyrchan, Ola Engkvist

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