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Papers citing Machine-Learning-Accelerated Perovskite Crystallization

  1. The effects of organic cation rotation in hybrid Organic-Inorganic Perovskites: A critical review

    Materials & Design · 2022-07-21

    Siyu Liu, Ruiqian Guo, Fengxian Xie

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  2. Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization

    Crystal Growth & Design · 2022-08-01

    Noor Titan Putri Hartono, Mansoor Ani Najeeb, Zhi Li, Philip W. Nega, Clare A. Fleming, Xiaohe Sun, Emory M. Chan, Antonio Abate, Alexander J. Norquist, Joshua Schrier, Tonio Buonassisi

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  3. Shape‐Controlled Solution‐Epitaxial Perovskite Micro‐Crystal Lasers Rivaling Vapor Deposited Ones

    Advanced Functional Materials · 2022-09-01

    Hany A. Afify, Viktor Rehm, Anastasia Barabash, Albert These, Jiyun Zhang, Andres Osvet, Christoph M. Schüßlbauer, Dominik Thiel, Tobias Ullrich, Martin Dierner, Thomas Przybilla, Johannes Will, Erdmann Spiecker, Dirk Michael Guldi, Christoph Josef Brabec, Wolfgang Heiß

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  4. Machine‐Learning Modeling for Ultra‐Stable High‐Efficiency Perovskite Solar Cells

    Advanced Energy Materials · 2022-09-13

    Yingjie Hu, Xiaobing Hu, Lu Zhang, Tao Zheng, Jiaxue You, Binxia Jia, Yabin Ma, Xinyi Du, Lei Zhang, Jincheng Wang, Bo Che, Tao Chen, Shengzhong Frank Liu

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  5. Accelerated innovation in developing high-performance metal halide perovskite solar cell using machine learning

    International Journal of Modern Physics B · 2022-09-30

    Anjan Kumar, Sangeeta Singh, Mustafa K. A. Mohammed, Dilip Kumar Sharma

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  6. Recent Developments in Process Digitalisation for Advanced Nanomaterial Syntheses

    Chemistry - Methods · 2022-09-30

    Diego Iglesias, Dina A Haddad, Víctor Sans

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  7. Machine learning for a sustainable energy future

    Nature Reviews Materials · 2022-10-18

    Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston, L.M. Mejía-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru‐Guzik, Edward Hartley Sargent, Zhi Wei Seh

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

    Progress in Materials Science · 2022-11-11

    Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin

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  9. Thermal evaporation and hybrid deposition of perovskite solar cells and mini-modules

    Joule · 2022-12-01

    Felix Utama Kosasih, Enkhtur Erdenebileg, Nripan Mathews, Subodh G. Mhaisalkar, Annalisa Bruno

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  10. Accelerated chemical space search using a quantum-inspired cluster expansion approach

    Matter · 2022-12-13

    Hitarth Choubisa, Jehad Abed, Douglas Mendoza, Hidetoshi Matsumura, Masahiko Sugimura, Zhenpeng Yao, Ziyun Wang, Brandon R. Sutherland, Alán Aspuru‐Guzik, Edward Hartley Sargent

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  11. Composition Engineering of Perovskite Single Crystals for High‐Performance Optoelectronics

    Advanced Functional Materials · 2022-12-22

    Yunxia Zhang, Yucheng Liu, Shengzhong Frank Liu

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  12. Ab initio studies on perovskites

    Elsevier eBooks · 2023-01-01

    Tudor Luca Mitran, Rachel Elizabeth Brophy, Marina Cuzminschi, Nicolae Filipoiu, Movaffaq Kateb, Ioana Pintilie, Andrei R. Manolescu, George Alexandru Nemneş

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  13. Discovery of all-inorganic lead-free perovskites with high photovoltaic performance via ensemble machine learning

    Materials Horizons · 2023-01-01

    Xia Cai, Yan Li, Jianfei Liu, Hao Zhang, Jianguo Pan, Yiqiang Zhan

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  14. Machine learning in energy chemistry: introduction, challenges and perspectives

    Energy Advances · 2023-01-01

    Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju

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  15. Perovskite-quantum dot hybrid solar cells: a multi-win strategy for high performance and stability

    Journal of Materials Chemistry A · 2023-01-01

    Ke Huang, Junlong Liu, Jianjuan Yuan, Wenchao Zhao, Kui Zhao, Zhihua Zhou

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  16. Recent Advance of Machine Learning in Selecting New Materials

    化学学报 · 2023-01-01

    Xingyi Qi, Yaofeng Hu, Ruoyu Wang, Yaqing Yang, Yufei Zhao

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  17. Smart Microfluidics: Synergy of Machine Learning and Microfluidics in the Development of Medical Diagnostics for Chronic and Emerging Infectious Diseases

    Critical Reviews in Biomedical Engineering · 2023-01-01

    David Madukwe, Moore Ikechi Mike-Ogburia, Nonso Nduka, Japhet Nzeobi

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  18. 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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  19. Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning

    Journal of Material Science and Technology · 2023-02-05

    Qinghua Wei, Bin Cao, Lucheng Deng, Ankang Sun, Ziqiang Dong, Tong‐Yi Zhang

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  20. High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap

    Materials Today Communications · 2023-03-17

    Wenguang Hu, Lei Zhang

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  21. Accelerated prediction of perovskite material properties with classical machine learning and graph neural network

    Materials Express · 2023-04-01

    Zhihao Dong, Youyong Li, Youyong Li

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  22. Perspective on machine learning based investigated materials to realize Stable-Efficient-Toxin free (S-E-T) perovskite solar cells

    Materials Today Proceedings · 2023-05-01

    Vinitha B. Elza, V. Suresh Babu, Nelsa Abraham

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  23. Methods, progresses, and opportunities of materials informatics

    InfoMat · 2023-06-01

    Chen Li, Kun Zheng

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

    Journal of Alloys and Compounds · 2023-06-01

    Chen Chen, Ayman Maqsood, T. Jesper Jacobsson

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  25. Probing the Low-Frequency Response of Impedance Spectroscopy of Halide Perovskite Single Crystals Using Machine Learning

    ACS Applied Materials & Interfaces · 2023-06-02

    Nishi Parikh, Seçkin Akın, Abul Kalam, Daniel Prochowicz, Pankaj Yadav

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  26. Photocatalytic Conversion of Methane: Current State of the Art, Challenges, and Future Perspectives

    ACS Environmental Au · 2023-06-20

    Zhuo Liu, Biyang Xu, Yujing Jiang, Yang Zhou, Xiaolian Sun, Yuanyuan Wang, Wenlei Zhu

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  27. Machine learning for fast development of advanced energy materials

    Next Materials · 2023-06-25

    Bita Farhadi, Jiaxue You, Dexu Zheng, Lu Liu, Sajian Wu, Jianxun Li, Zhipeng Li, Kai Wang, Shengzhong Frank Liu

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  28. A Data-Driven Platform for Two-Dimensional Hybrid Lead-Halide Perovskites

    ACS Nano · 2023-07-05

    An Chen, Zhilong Wang, Jing Gao, Yanqiang Han, Junfei Cai, Simin Ye, Jinjin Li

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  29. Emerging opportunities for hybrid perovskite solar cells using machine learning

    APL Energy · 2023-07-05

    Abigail R. Hering, Mansha Dubey, Marina S. Leite

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  30. 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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  31. 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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  32. Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives

    Energy Technology · 2023-09-13

    Nitin Kumar Bansal, Snehangshu Mishra, Himanshu Dixit, Shivam Porwal, Paulomi Singh, Trilok Singh

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  33. Machine‐Learning Accelerating the Development of Perovskite Photovoltaics

    Solar RRL · 2023-09-26

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

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  34. Methoxy‐Based Passivator 4‐Methoxyphenethylammonium Iodide as Multifunctional Passivator for High‐Efficiency 3D/2D Flexible Perovskite Solar Cells over 23%

    Solar RRL · 2023-10-13

    Ruikun Cao, Yaohua Wang, Kexuan Sun, Yuanyuan Meng, Chang Liu, Ziyi Ge

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  35. Accelerated design of stable halide perovskite heterostructure film in hostile condition via surface modifier

    Organic Electronics · 2023-11-08

    Shenyue Li, Yiru Huang, Lei Zhang

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  36. Comprehensive and Accurate Prediction of Band Gap for Lead-Free Double Perovskites through Self-Modified Machine Learning Strategy

    The Journal of Physical Chemistry C · 2023-11-21

    Jing Lan, Songyang Yuan, Huiqun Zheng, Wenjian Yang, Wenzhe Li, Jiandong Fan

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  37. Accelerated Discovery of Perovskite-Inspired Materials through Robotized Screening Including Solar Cell Characterization

    ACS Applied Energy Materials · 2023-11-28

    Allan Starkholm, Lars A. Kloo, Per H. Svensson

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  38. Methods and Models of Machine Learning in Chemistry and Material Science Using Solute Diffusion Experiment

    Computer Design Systems Theory and Practice · 2024-01-01

    Oleksii Veretiuk, Nazariy Andrushchak

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  39. Multi-Modal Transformer Architectures for Correlating Processing Conditions to Functional Performance in Perovskite Solar Cells

    Journal of Artificial Intelligence for Materials Science · 2024-01-01

    Ravi Kumar, Neha Sharma, Aniket Deshmukh

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  40. Nature-inspired and computer-aided approaches to enable improved photovoltaic materials, more efficient processing, and novel devices

    Elsevier eBooks · 2024-01-01

    Aloysius F. Hepp, Ryne P. Raffaelle

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  41. Role of quantum technology and artificial intelligence for nano-enabled microfluidics

    Elsevier eBooks · 2024-01-01

    Surendra Kumar Yadav, Kolleboyina Jayaramulu

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  42. Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory

    Nature Communications · 2024-01-02

    Yilei Wu, Changfeng Wang, Ming‐Gang Ju, Qiang‐Qiang Jia, Qionghua Zhou, Shuaihua Lu, Xinying Gao, Yi Zhang, Jinlan Wang

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  43. Surface Patterned Omniphobic Tiles (SPOTs): a versatile platform for scalable liquid handling

    bioRxiv (Cold Spring Harbor Laboratory) · 2024-01-22

    Samira Shiri, Mohsin J. Qazi, Shenghao Tan, Jon Albo, Arnold Chen, Rena Fukuda, Mika Sarkin Jain, Nkazi Nchinda, Mark Menesses, Ghada H. Ahmed, Arynn O. Gallegos, Mahesh K. Gangishetty, Daniel N. Congreve, Nate Cira

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  44. Review of computer‐aided methods in fat crystallization studies

    Journal of the American Oil Chemists Society · 2024-01-30

    Ang Qi, Lu Zhang

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  45. Photocatalytic Reactors for the Production of Syngas Through Natural Gas Methane

    Elsevier eBooks · 2024-02-06

    Ijaz Hussain, Zuhair Omar Malaibari, Abdullah Mohammed Aitani, Obaid F. Aldosari, Mohammad Adeel Sharif, Walid Nabgan, Ahmed T. Al-Qathmi, Aishah Abdul Jalil

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  46. DLSIA: Deep Learning for Scientific Image Analysis

    Journal of Applied Crystallography · 2024-03-01

    Eric J. Roberts, Tanny Chávez, Alexander Hexemer, Petrus H. Zwart

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  47. The Future of Material Scientists in an Age of Artificial Intelligence

    Advanced Science · 2024-03-13

    Ayman Maqsood, Chen Chen, T. Jesper Jacobsson

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  48. Structurally Flexible 2D Spacer for Suppressing the Electron–Phonon Coupling Induced Non-Radiative Decay in Perovskite Solar Cells

    Nano-Micro Letters · 2024-04-24

    Ruikun Cao, Kexuan Sun, Chang Liu, Yuhong Mao, Wei Guo, Ping Ouyang, Yuanyuan Meng, Ruijia Tian, Lisha Xie, Xujie Lü, Ziyi Ge

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  49. Machine Learning Methods to Improve Crystallization through the Prediction of Solute–Solvent Interactions

    Crystals · 2024-05-24

    Aatish Kandaswamy, Sebastian Patrick Schwaminger

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  50. Machine learning-based screening of two-dimensional perovskite organic spacers

    Advanced Composites and Hybrid Materials · 2024-06-01

    Yongxiang Mai, Jianyao Tang, Haogang Meng, Xiaohui Li, Meiyue Liu, Chen Zeng, Putao Zhang, Shengjun Li

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