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Papers citing Bandgap tuning strategy by cations and halide ions of lead halide perovskites learned from machine learning

  1. The Neoteric technical advances for improving Physical and Optical characteristics of Perovskite solar cells - A review

    SPAST Abstracts · 2021

    Nitin Ralph Pochont, Y Rajasekhar, Mrinal Dutta, Kuraganti Vasu, Tirupati

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  2. Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning

    Solar RRL · 2021

    Elif Ceren Gök, Murat Onur Yildirim, Muhammed P. U. Haris, Esin Eren, Meenakshi Pegu, Naveen Harindu Hemasiri, Peng Huang, Samrana Kazim, Ayşegül Uygun Öksüz, Shahzada Ahmad

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  3. Predicting the band gap of binary compounds from machine-learning regression methods

    ChemRxiv · 2021

    Mengbo Guo, Xuyang Xu, Han Xie

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  4. Predicting the photon energy of quasi-2D lead halide perovskites from the precursor composition through machine learning

    Nanoscale Advances · 2022

    Wei Wang, Yueqiao Li, Ang Zou, Haochen Shi, Xiaofeng Huang, Yaoyao Li, Dong Wei, Bo Qiao, Suling Zhao, Zheng Xu, Dandan Song

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  5. Screening interface passivation materials intelligently through machine learning for highly efficient perovskite solar cells

    Journal of Materials Chemistry A · 2022

    Wu Liu, Yao Lu, Dong Wei, Xiaomin Huo, Xiaofeng Huang, Yaoyao Li, Juan Meng, Suling Zhao, Bo Qiao, Zhiqin Liang, Zheng Xu, Dandan Song

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  6. Key Factors Governing the External Quantum Efficiency of Thermally Activated Delayed Fluorescence Organic Light-Emitting Devices: Evidence from Machine Learning

    ACS Omega · 2022

    Haochen Shi, Wenzhu Jing, Wu Liu, Yaoyao Li, Zhaojun Li, Bo Qiao, Suling Zhao, Zheng Xu, Dandan Song

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  7. Future Research Directions in Perovskite Solar Cells: Exquisite Photon Management and Thermodynamic Phase Stability

    Advanced Materials · 2022

    Hui‐Seon Kim, Nam‐Gyu Park

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  8. Bandgap graded perovskite solar cell for above 30% efficiency

    Optik · 2022

    J. Prasanna, Ekta Goel, Amarjit Kumar, A. Laref, Chella Santhosh, Pranay Ranjan, Atul Kumar

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  9. Optical Simulations in Perovskite Devices: A Critical Analysis

    ACS Photonics · 2022

    Shaoni Kar, Ken Kaushal, Natalia Yantara, Subodh G. Mhaisalkar

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  10. Applications of machine learning in perovskite materials

    Advanced Composites and Hybrid Materials · 2022

    Ziman Wang, Ming Yang, Xixi Xie, Chenyang Yu, Qinglong Jiang, Mina Huang, Hassan Algadi, Zhanhu Guo, Hang Zhang

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  11. Predicting the device performance of the perovskite solar cells from the experimental parameters through machine learning of existing experimental results

    Journal of Energy Chemistry · 2022

    Yao Lu, Dong Wei, Wu Liu, Juan Meng, Xiaomin Huo, Yu Zhang, Zhiqin Liang, Bo Qiao, Suling Zhao, Dandan Song, Zheng Xu

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  12. All-in-One Electric Double Layer Supercapacitors Based on CH3NH3PbI3 Perovskite Electrodes

    ACS Omega · 2022

    Seher Güz, Merve Buldu-Aktürk, Hasan Göçmez, Emre Erdem

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  13. First-principles study on the role of anion in the physical properties of lead-free halide double perovskites

    Computational Materials Science · 2022

    Neetesh Kumar, Sankar Ganesh Ramaraj, Pranavamoorthy Karthika, Nishitha P. Mathew, Rajalakshmi Radhakrishnan

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  14. Machine learning-assisted screening of effective passivation materials for P–I–N type perovskite solar cells

    Journal of Materials Chemistry C · 2023

    Di Huang, Chaorong Guo, Zhennan Li, Haixin Zhou, Xiaojie Zhao, Zhimin Feng, Rui Zhang, Menglong Liu, Jiaojiao Liang, Ling Zhao, Juan Meng

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  15. Bandgap Assessment of Compositional Variation for Uncovering High‐Efficiency Improved Stable All‐Inorganic Lead‐Free Perovskite Solar Cells

    physica status solidi (a) · 2023

    Ramachandran Thandaiah Prabu, S. Malathi, Atul Kumar, Bandar Ali Al‐Asbahi, A. Laref

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  16. Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects

    Advanced Functional Materials · 2023

    Yiming Liu, Xinyu Tan, Jie Liang, Hongwei Han, Peng Xiang, Wensheng Yan

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  17. Machine learning enables intelligent screening of interface materials towards minimizing voltage losses for p-i-n type perovskite solar cells

    Journal of Energy Chemistry · 2023

    Wu Liu, Ning Meng, Xiaomin Huo, Yao Lu, Yu Zhang, Xiaofeng Huang, Zhenqun Liang, Suling Zhao, Bo Qiao, Zhiqin Liang, Zheng Xu, Dandan Song

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  18. Machine learning for perovskite solar cell design

    Computational Materials Science · 2023

    Zhan Hui, Min Wang, Xiang Qian Yin, Yanan Wang, Yunliang Yue

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  19. Machine learning-assisted design of wide bandgap perovskite materials for high-efficiency indoor photovoltaic applications

    Materials Today Communications · 2023

    Snehangshu Mishra, Binita Boro, Nitin Kumar Bansal, Trilok Singh

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  20. 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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  21. Emerging opportunities for hybrid perovskite solar cells using machine learning

    APL Energy · 2023

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

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  22. Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning

    Journal of Energy Chemistry · 2023

    Quan Zhang, Jianqi Wang, Guohua Liu

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  23. Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives

    Energy Technology · 2023

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

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  24. Synergistic passivation of defects for inorganic perovskite solar cells with reduced open-circuit voltage deficiency

    Journal of Materials Science · 2023

    Ying Wang, Qiufeng Ye, Pengjie Hang, Yuxin Yao, Biao Li, Chenxia Kan, Daoyong Zhang, Xuegong Yu, Deren Yang

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  25. 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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  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. Bandgap Prediction of Hybrid Organic–Inorganic Perovskite Solar Cell Using Machine Learning

    Journal of The Institution of Engineers (India) Series D · 2023

    Debmalya Sadhu, Debasis De, Devansh Dattatreya, Arjun Deo, Subir Gupta

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  28. Functionalized MXene/Halide Perovskite Heterojunctions for Perovskite Solar Cells Stable Under Real Outdoor Conditions

    Advanced Energy Materials · 2023

    Masoud Karimipour, Ashitha Paingott Parambil, Kenedy Tabah Tanko, Tiankai Zhang, Feng Gao, Mónica Lira‐Cantú

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  29. ADDRESSING THE DRAWBACKS OF PEROVSKITE PHOTOVOLTAICS TO IMPROVE SOLAR ENERGY TECHNOLOGIES: A REVIEW

    International Journal of Materials Engineering and Technology · 2023

    Andrew Setley, Ching Ping Wong

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  30. Advancing perovskite solar cell performance: Enhanced efficiency and stability through superimposed PbS QDs

    Solar Energy · 2023

    Fatemeh Eslami, Samiye Matloub

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  31. Unraveling the Effect of Compositional Ratios on the Kesterite Thin-Film Solar Cells Using Machine Learning Techniques

    Crystals · 2023

    Vijay Chandrakant Karade, Santosh Shashikant Sutar, Jun Hwan Jang, Kuldeep Singh Gour, Seung Koo Shin, Mahesh P. Suryawanshi, Rajanish K. Kamat, Tukaram Dattatray Dongale, Jin Kim, Jae Sung Yun

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  32. Green construction of fused heterocycles & synthesis of carbo-benzenic phosphine derivatives

    Venue not supplied by source · 2023

    Zhenyu Yao

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  33. Effective Encapsulation and Surface Treatment for Damp‐Heat Stable Triple Cation Perovskite Solar Cells

    Solar RRL · 2023

    Hyojung Kim, Jaegwan Sin, Moonhoe Kim, Gisung Kim, Mijoung Kim, Jae‐Ho Kim, Gun Park, Bora Kim, Mun Seok Jeong, JungYup Yang

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  34. Identifying Molecular Structure–Energy Level Quantitative Relationship of Thermally Activated Delayed Fluorescence Materials Using Machine Learning

    The Journal of Physical Chemistry C · 2023

    Haochen Shi, Yingjie Li, Suling Zhao, Bo Qiao, Zhiqin Liang, Honge Zhao, Zheng Xu, Dandan Song

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  35. Temperature Dependence of Photoinduced Phase Segregation in Bromide-Rich Mixed Halide Perovskites

    The Journal of Physical Chemistry C · 2023

    Grigorii Verkhogliadov, Ross Haroldson, Dmitry S. Gets, Anvar A. Zakhidov, Sergey Makarov

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  36. Carrier Trapping Deactivation by Halide Alloying in Formamidinium‐Based Lead Iodide Perovskites

    Advanced Functional Materials · 2023

    Jesús Jiménez‐López, Daniele Cortecchia, E Laine Wong, Giulia Folpini, Antonella Treglia, Ada Lilí Alvarado‐Leaños, Chun-Sheng Jack Wu, Andrea Olivati, Annamaria Petrozza

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  37. Data‐Driven Approach to Accelerate the Design of Halide Perovskite for Photovoltaic Application Using Electronic Properties as Descriptors

    Energy Technology · 2024

    Shivam Aggarwal, Bharadwaj Jayam, Tanmoy Maiti

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  38. Predicting the band gap of lead-free inorganic double perovskites using modified parallel residual network

    Canadian Journal of Chemistry · 2024

    Wei Luo, Jiahao Guan, Zuotao Yan

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  39. Perovskite Solar Cells: A Review of the Latest Advances in Materials, Fabrication Techniques, and Stability Enhancement Strategies

    Micromachines · 2024

    Rakesh Ashok Afre, Diego Pugliese

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  40. Strain‐Induced α‐Phase Stabilization for Low Dark Current FAPI‐Based Photodetectors

    Advanced Optical Materials · 2024

    Eunyoung Hong, Davide Nodari, Francesco Furlan, Edoardo Angela, Julianna Panidi, Martyn A. McLachlan, Nicola Gasparini

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  41. Sensing Utilities of Cesium Lead Halide Perovskites and Composites: A Comprehensive Review

    Sensors · 2024

    Muthaiah Shellaiah, Kien Wen Sun, Natesan Thirumalaivasan, Mayank Bhushan, Arumugam Murugan

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  42. Predicting the properties of perovskite materials by improved compositionally restricted attention-based networks and explainable machine learning

    Journal of Physics D Applied Physics · 2024

    Hui Zhan, Min Wang, Jiacheng Wang, Jialu Chen, Xiang Yin, Yunliang Yue

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  43. Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes

    Advanced Science · 2024

    Yonghao Xiao, Khokan Choudhuri, Adisak Thanetchaiyakup, Wei Xin Chan, Xinwen Hu, Mansour Sadek, Ying Hern Tam, Ryan Guanying Loh, Sharifah Nadhirah Binte Shaik Mohammed, Kendric Jian Ying Lim, Ju Zheng Ten, Felipe Garcı́a, Vijila Chellappan, Tej Salil Choksi, Yee‐Fun Lim, Han Sen Soo

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  44. Machine learning guided efficiency improvement for Sn‐based perovskite solar cells with efficiency exceeding 20%

    Rare Metals · 2024

    Weiyin Gao, Chenxin Ran, Liang Zhao, He Dong, Wang‐Yue Li, Zhao-Qi Gao, Yingdong Xia, Hai Huang, Yonghua Chen

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  45. Collaborative Fabrication of High-Quality Perovskite Films for Efficient Solar Modules through Solvent Engineering and Vacuum Flash System

    ACS Applied Materials & Interfaces · 2024

    Jie Gao, Fei Fei, Yibo Xu, Shubo Wang, Yue Li, Kaihuai Du, Huina Sun, Xu Dong, Ningyi Yuan, Lvzhou Li, Jianning Ding

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  46. Performance prediction and analysis of perovskite solar cells using machine learning

    Journal of Alloys and Compounds Communications · 2024

    Debmalya Sadhu, Devansh Dattatreya, Arjun Deo, Kartick Tarafder, Debasis De

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  47. Overview of the Recent Findings in the Perovskite-Type Structures Used for Solar Cells and Hydrogen Storage

    Energies · 2024

    Meng-Hsueh Kuo, Neda Neyková, Ivo Stachiv

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  48. Recent progress in the development of metal halide perovskite electronics for sensing applications

    Materials Today Electronics · 2024

    Albert Buertey Buer, Nana Yaw Asare Boateng, Benjamin Asafo-Adjei, Sooncheol Kwon, Jea Woong Jo

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  49. Thermally evaporated perovskite light-emitting diodes for wide-color-gamut displays in AR/VR devices

    Device · 2024

    Liang Wang, Jianqiu Xu, Jiajun Luo, William W. Yu

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  50. Overcoming the Open-Circuit Voltage Losses in Narrow Bandgap Perovskites for All-Perovskite Tandem Solar Cells

    ACS Materials Letters · 2024

    Yekitwork Abebe Temitmie, Muhammad Irfan Haider, Daniele T. Cuzzupè, Lucia Vittoria Mercaldo, Stefan Kraner, Paola Delli Veneri, Amare Benor, Azhar Fakharuddin, Lukas Schmidt‐Mende

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