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Papers citing High-Throughput Study of Antisolvents on the Stability of Multicomponent Metal Halide Perovskites through Robotics-Based Synthesis and Machine Learning Approaches

  1. Machine learning for high-throughput experimental exploration of metal halide perovskites

    Joule · 2021

    Mahshid Ahmadi, Maxim A Ziatdinov, Yuanyuan Zhou, Eric Andrew Lass, Sergei V. Kalinin

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  2. “Green” synthesis of highly luminescent lead-free Cs 2 Ag x Na 1− x Bi y In 1− y Cl 6 perovskites

    Journal of Materials Chemistry C · 2022

    Oleksandr L. Stroyuk, Oleksandra Raievska, Anastasia Barabash, Miroslaw Batentschuk, Andres Osvet, Saskia Fiedler, Ute Resch‐Genger, Jens Hauch, Christoph Josef Brabec

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  3. 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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  4. Halide Perovskite Crystallization Processes and Methods in Nanocrystals, Single Crystals, and Thin Films

    Advanced Materials · 2022

    Qiaojiao Gao, Jianhang Qi, Kai Chen, Minghao Xia, Yue Hu, Anyi Mei, Hongwei Han

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  5. Materials Data toward Machine Learning: Advances and Challenges

    The Journal of Physical Chemistry Letters · 2022

    Linggang Zhu, Jian Xin Zhou, Zhimei Sun

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  6. An adaptive framework to accelerate optimization of high flame retardant composites using machine learning

    Composites Science and Technology · 2022

    Fengqing Chen, Longjie Weng, Jinhe Wang, Pin Chieh Wu, Dianpu Ma, Fei Pan, Peng Ding

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  7. Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation

    Progress in Materials Science · 2022

    Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin

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  8. Exploring the Evolution of Metal Halide Perovskites via Latent Representations of the Photoluminescent Spectra

    Advanced Intelligent Systems · 2023

    Sheryl L. Sanchez, Yongtao Liu, Jonghee Yang, Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi

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  9. The rise of self-driving labs in chemical and materials sciences

    Nature Synthesis · 2023

    Milad Abolhasani, Eugenia Kumacheva

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  10. Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces

    MRS Bulletin · 2023

    Jonghee Yang, Sergei V. Kalinin, Ekin D. Cubuk, Maxim A Ziatdinov, Mahshid Ahmadi

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  11. Closed-loop optimization of nanoparticle synthesis enabled by robotics and machine learning

    Matter · 2023

    Jungwon Park, Young Min Kim, Seonghun Hong, Byungchan Han, Ki Tae Nam, Yousung Jung

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  12. Combined Ultraviolet Ozone and Thermally Activated Formamidinium Iodide Solution to Fabricate Large Grain FAPbI2.6Br0.3Cl0.1 Films

    ACS Omega · 2023

    Bhabani Sankar Swain, Son Pal Singh, Rahim Abdur, Jae‐Hun Kim, Jaegab Lee

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  13. A robotic platform for the synthesis of colloidal nanocrystals

    Nature Synthesis · 2023

    Haitao Zhao, Wei Chen, Hao Huang, Zhehao Sun, Zijian Chen, Lingjun Wu, Baicheng Zhang, Fuming Lai, Zhuo Wang, Mukhtar Lawan Adam, Cheng Heng Pang, Paul Kim-Ho Chu, Yang Lü, Tao Wu, Jun Jiang, Zongyou Yin, Xue‐Feng Yu

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  14. The Effect of Redox Reactions on the Stability of Perovskite Solar Cells

    ChemPhotoChem · 2023

    Xuteng Yu, Yao Wang, Peng Fei Gao

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  15. High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites

    ChemRxiv · 2023

    Jonghee Yang, Benjamin J. Lawrie, Sergei V. Kalinin, Mahshid Ahmadi

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  16. Probe microscopy is all you need *

    Machine Learning Science and Technology · 2023

    Sergei V. Kalinin, Rama Krishnan Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin M. Roccapriore, Maxim A Ziatdinov

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  17. Robotic platform for accelerating the high-throughput study of silver nanocrystals in sensitive/selective Hg2+ detection

    Chemical Engineering Journal · 2023

    Lixiang Xing, Zijian Chen, Wei Chen, Paul Kim-Ho Chu, Xue‐Feng Yu, Haitao Zhao

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  18. Empowering scientists with data-driven automated experimentation

    Nature Synthesis · 2023

    Jonghee Yang, Mahshid Ahmadi

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

    Journal of Alloys and Compounds · 2023

    Chen Chen, Ayman Maqsood, T. Jesper Jacobsson

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  20. Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys

    Matter · 2023

    Tonghui Wang, Ruipeng Li, Hossein Ardekani, Lucía Serrano‐Luján, Jiantao Wang, Mahdi Ramezani, Ryan L. Wilmington, Mihirsinh Chauhan, Robert W. Epps, Kasra Darabi, Boyu Guo, Dali Sun, Milad Abolhasani, Kenan Gündoğdu, Aram Amassian

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  21. High‐Throughput Automated Exploration of Phase Growth Behaviors in Quasi‐2D Formamidinium Metal Halide Perovskites

    Advanced Energy Materials · 2023

    Jonghee Yang, Benjamin J. Lawrie, Sergei V. Kalinin, Mahshid Ahmadi

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  22. Machine‐Learning Accelerating the Development of Perovskite Photovoltaics

    Solar RRL · 2023

    Tiantian Liu, Sen Wang, Yinguang Shi, Lei Wu, Ruiyu Zhu, Yong Wang, Jun Zhou, Wallace C. H. Choy

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  23. Domain hyper-languages bring robots together and enable the machine learning community

    Device · 2023

    Shakti P. Padhy, Sergei V. Kalinin

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  24. PyLabRobot: An open-source, hardware-agnostic interface for liquid-handling robots and accessories

    Device · 2023

    Rick P. Wierenga, Stefan M. Golas, Wilson Ho, Connor W. Coley, Kevin M. Esvelt

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  25. Communicating Supraparticles to Enable Perceptual, Information‐Providing Matter

    Advanced Materials · 2023

    Jakob Reichstein, Stephan Müssig, Susanne Wintzheimer, Karl Sebastian Mandel

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  26. Data‐Driven Fine Element Tuning of Halide Double Perovskite for Enhanced Photoluminescence

    Advanced Optical Materials · 2023

    Lingjun Wu, Zijian Chen, Zhongcheng Yuan, Bobin Wu, Shaohui Liu, Zixuan Wang, Jonathan P. Mailoa, Chenru Duan, Hao Huang, Chang‐Yu Hsieh, Xue‐Feng Yu, Haitao Zhao

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  27. Explainability and human intervention in autonomous scanning probe microscopy

    Patterns · 2023

    Yongtao Liu, Maxim A Ziatdinov, Rama Krishnan Vasudevan, Sergei V. Kalinin

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  28. Large language models for chemistry robotics

    Autonomous Robots · 2023

    Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Andrew Zou Li, Yuchi Zhao, Haoping Xu, Artur Kuramshin, Alán Aspuru‐Guzik, Florian Shkurti, Animesh Garg

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  29. Automated LARP synthesis identifies optimal ligand combinations for perovskite nanocrystal preparation

    Device · 2023

    Milena P. Arciniegas, Liberato Manna

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  30. Machine learning–assisted colloidal synthesis: A review

    Materials Today Chemistry · 2023

    Dayana Gulevich, Igor R. Nabiev, Pavel S. Samokhvalov

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  31. High-Throughput Multi-Scale Experiments to Probe the Stability of Metal Halide Perovskites

    ACS Energy Letters · 2023

    Yalan Zhang, Yuanyuan Zhou

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  32. Machine learning for expediting next-generation of fire-retardant polymer composites

    Composites Communications · 2023

    Pooya Jafari, Ruoran Zhang, Siqi Huo, Qingsheng Wang, Jianming Yong, Min Hong, Ravinesh Chand Deo, Hao Wang, Pingan Song

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  33. Physics-driven discovery and bandgap engineering of hybrid perovskites

    Digital Discovery · 2024

    Sheryl L. Sanchez, Elham Foadian, Maxim A Ziatdinov, Jonghee Yang, Sergei V. Kalinin, Yongtao Liu, Mahshid Ahmadi

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  34. Six metal cations in one double perovskite: exploring complexity of chloride elpasolites by high-throughput experimentation

    Journal of Materials Chemistry C · 2024

    Oleksandr L. Stroyuk, Oleksandra Raievska, Manuel Daum, Jens Hauch, Christoph Josef Brabec

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  35. Strongly-confined colloidal lead-halide perovskite quantum dots: from synthesis to applications

    Chemical Society Reviews · 2024

    Junzhi Ye, Deepika Gaur, Chenjia Mi, Zijian Chen, Iago López‐Fernández, Haitao Zhao, Yitong Dong, Lakshminarayana Polavarapu, Robert L. Z. Hoye

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  36. Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation

    Next Materials · 2024

    Zhihao Xu, Sang‐Hyun Chin, Bo‐In Park, Yuan Meng, Sunok Kim, Sangmoon Han, Yimeng Li, Dong‐Hwan Kim, Beom-Soo Kim, Jin‐Wook Lee, Sang‐Hoon Bae

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  37. Tailoring Local Chemical Ordering via Elemental Tuning in High-Entropy Alloys

    Journal of the American Chemical Society · 2024

    Zhennan Huang, Tangyuan Li, Boyang Li, Qi Dong, Jacob Smith, Shuke Li, Lin Xu, Guofeng Wang, Miaofang Chi, Liangbing Hu

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

    ACS Energy Letters · 2024

    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 Josef Brabec, Yicheng Zhao

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  39. Lead-Free Halide Perovskites for Photocatalysis via High-Throughput Exploration

    Chemistry of Materials · 2024

    Astita Dubey, Sheryl L. Sanchez, Jonghee Yang, Mahshid Ahmadi

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  40. Designing workflows for materials characterization

    Applied Physics Reviews · 2024

    Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin M. Roccapriore, Yongtao Liu, Rama Krishnan Vasudevan

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  41. Redox-Sensitive NiO x Stabilizing Perovskite Films for High-Performance Photovoltaics

    Journal of the American Chemical Society · 2024

    Fang Cao, Shaoqi Zhan, Xinfeng Dai, Fangwen Cheng, Weixin Li, Qifan Feng, Xiaofeng Huang, Jun Yin, Jing Li, Nanfeng Zheng, Binghui Wu

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  42. From bulk effective mass to 2D carrier mobility accurate prediction via adversarial transfer learning

    Nature Communications · 2024

    Xinyu Chen, Shuaihua Lu, Qian Chen, Qionghua Zhou, Jinlan Wang

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  43. Accelerating Materials Discovery by High‐Throughput GIWAXS Characterization of Quasi‐2D Formamidinium Metal Halide Perovskites

    Advanced Functional Materials · 2024

    Jonghee Yang, Juanita Hidalgo, Donghoon Song, Sergei V. Kalinin, Juan‐Pablo Correa‐Baena, Mahshid Ahmadi

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  44. Decoding the Broadband Emission of 2D Pb‐Sn Halide Perovskites through High‐Throughput Exploration

    Advanced Functional Materials · 2024

    Elham Foadian, Jonghee Yang, Sumner B. Harris, Yipeng Tang, Christopher M. Rouleau, Syed Joy, Kenneth R. Graham, Benjamin J. Lawrie, Bin Hu, Mahshid Ahmadi

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  45. Digital manufacturing of perovskite materials and solar cells

    Applied Energy · 2024

    Zixuan Wang, Zijian Chen, Boyuan Wang, Chuang Zhi Wu, Chao Zhou, Peng Yang, Xinyu Zhang, Zongming Ni, Chi-yung Chung, Ching-chuen Chan, Jian Ming Yang, Haitao Zhao

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  46. When Metal Nanoclusters Meet Smart Synthesis

    ACS Nano · 2024

    Zhucheng Yang, Anye Shi, Ruixuan Zhang, Zuowei Ji, Jiali Li, Jingkuan Lyu, Jing Qian, Tiankai Chen, Xiaonan Wang, Fengqi You, Jianping Xie

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  47. 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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  48. From Sunlight to Solutions: Closing the Loop on Halide Perovskites

    ACS Materials Au · 2024

    Elham Foadian, Sheryl L. Sanchez, Sergei V. Kalinin, Mahshid Ahmadi

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  49. 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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  50. Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives

    International Journal of Molecular Sciences · 2024

    Arnav Tripathy, Akshata Yashwant Patne, Subhra Mohapatra, Shyam S. Mohapatra

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