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RESEARCH PAPER · Energy Technology · 2023

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

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

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Machine Learning in Perovskite Solar Cells: Recent Developments and Future PerspectivesOriginalPerformance assessment of earth-abundant Kesterite and lead-free chalcogenide-based perovskite solar cells using SCAPS-1D34N-Methyl-2-pyrrolidone driven solvent engineering of hybrid perovskite solar cells fabricated under air ambient conditions19Engineering of antisolvent dripping for large-area perovskite solar cell fabrication under air ambient conditions6Evaluation of design and device parameters for lead-free Sr 3 PBr 3 /Sr 3 NCl 3 duel-layer perovskite photovoltaic device technology21Numerical analysis and device modelling of a lead-free Sr 3 PI 3 /Sr 3 SbI 3 double absorber solar cell for enhanced efficiency45Machine Learning Guided Strategies to Develop High Efficiency Indoor Perovskite Solar Cells16Numerical optimization of interface engineering parameters for a highly efficient HTL-free perovskite solar cell27A review of interface engineering characteristics for high performance perovskite solar cells77Providing a Photovoltaic Performance Enhancement Relationship from Binary to Ternary Polymer Solar Cells via Machine Learning2Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling21Predicting photovoltaic parameters of perovskite solar cells using machine learning9Screening of Functional Small Molecules via Modified Machine Learning Strategy toward Efficient All-Inorganic Perovskite Solar Cells12Engineering and Design of Halide Perovskite Photoelectrochemical Cells for Solar‐Driven Water Splitting54Predicting Optimal Solar Cell Design for Enhanced Degradation Resistance based on Environmental Conditions Using Machine Learning0A comprehensive review of organic frameworks: From synthesis to perovskite solar cells fabrication4New eco-friendly lead-free double perovskites Rb2FeCdO6 driven semiconducting material for radiation shielding and energy applications: DFT + U based nanoarchitectonics7Machine Learning-Enabled performance exploration to unveil the potential of AuCuSe4 in thermophotovoltaic cell7Machine learning for perovskite optoelectronics: a review24Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells32Signal Components and Impedance Spectroscopy of Potential p‐Si/n‐CdS/ALD‐ZnO Solar Cells: EIS and SCAPS‐1D Treatments12Digital manufacturing of perovskite materials and solar cells12Examining the electronic, structural, optical, and photovoltaic capabilities of Sr3AsBr3 perovskite under tensile and compressive strains with DFT and SCAPS-1D29Recent Progress on Perovskite Materials for VOC Gas Sensing28Study of Photodegradation of Organic Solar Cells Under Brazilian Climate Conditions2A comprehensive review of machine learning applications in perovskite solar cells: Materials discovery, device performance, process optimization and systems integration41Composition engineering guided experimental fabrication of Cs(1-n)AnPb(1-m)BmX3 via machine learning for high-efficiency solar cells4Machine Learning Models for Efficient Property Prediction of ABX 3 Materials: A High-Throughput Approach22Achieving over 30% efficiency employing a novel double absorber solar cell configuration integrating Ca3NCl3 and Ca3SbI3 perovskites34Machine learning for a sustainable energy future15Predicting and analyzing stability in perovskite solar cells: Insights from machine learning models and SHAP analysis19Advanced Photovoltaic Degradation Analysis using Physics Modeling and Bayesian Machine Learning0Innovative double absorber solar cell design combining Ca3AsI3 and Ca3PI3 perovskites for achieving over 29% efficiency37Design and efficiency improvement of eco-conscious Sr3PBr3 and Sr3NCl3 double perovskite solar cells with IGZO and Cu2O as ETL and HTL16AI Augmented ETL Pipelines for Automated Data Quality Anomaly Detection and Governance1Accelerating the discovery of direct bandgap perovskites for solar energy via machine learning6Studies of using RbPbBr3 and AgCdF3 as double absorber layer in solar cell to enhance the efficiency up to 31%9The Development and Evaluation of Hybrid Solar Cells Based on Perovskites and CIGS with Different ETL for Increased Photovoltaic Efficiency Using SCAPS-1D9Multi-Model Deep Learning Framework for Defect Detection in Mixed-Dimensionality FAPbI₃ Perovskite Films0Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU17Efficiency Improvement of Ingan Solar Cell Based on Bayesian Optimization0Machine Learning‐Assisted Novel Photovoltaic Optimization for Tailored Ultra‐Thin CdTe‐Based Solar Cells8An innovative machine learning based approach for predicting the efficiency of a chalcogenide perovskite semiconductor photovoltaic cell4Machine-learning driven approach for exploration of properties of antimony chalcogenide perovskite based double absorber with back surface field layer6Bridging the AI–Energy Paradox: A Compute-Additionality Covenant for System Adequacy in Energy Transition5Application of Machine Learning for Performance Analysis and Composition Tuning in Mixed Halide Cs2Ti(Cl1−xBrx)6 Solar Devices2Enhancing photovoltaic parameters through anti-reflective coatings: A DFT and machine learning-based study16Optimization of Lead‐Free Perovskite Solar Cell Architecture Using Machine Learning and Numerical Simulations4Lattice constant prediction of ABX3 and A2BB′X6 perovskites using autoregressive type 3 fuzzy model optimized by extended Kalman filter3A multi-model deep learning framework for SEM-based defect detection in $\textrm{FAPbI}_3$ Perovskite thin films7Numerical and machine learning approaches for efficiency optimization of lead-free Rb2LiGaI6 double perovskite solar cells2Lead halide perovskite solar cells1Bandgap Prediction in Mixed $\text{Sn}-\text{Pb}$ Perovskites via Regression Models0Accelerating perovskite solar cell design using machine learning: a comparative study on Pb and Sn compositions0Machine learning-assisted optimization of Cu-based HTLs for lead-free Sr 3 PBr 3 perovskite solar cells achieving over 30% efficiency via SCAPS-1D simulation5A Sustainable Double‐Absorber Perovskite Solar Cell Based on Ca 3 NBr 3 and Ca 3 NCl 3 Achieving 35.76% Efficiency2Accelerating Organic Solar Cell Development Through Artificial Intelligence–Driven Material Discovery and Optimization1Computation of physical properties of perovskite nano clusters to improve letrozole impact for breast cancer treatment0Role of Machine Learning in the Perovskite Solar Cell Investigations0SCAPS-1D simulation of lead-free perovskite solar cells: performance analysis and optimization16Predicting perovskite solar cell stability using CatBoost with Bayesian optimization and SHAP interpretability analysis3Investigating the optoelectronic properties and photovoltaic performance of Na2AuGaBr6 based double perovskite solar cells via numerical simulation and AI techniques11Predicting photovoltaic output parameters of perovskite solar cells using explainable machine learning with physics-informed and simulation-derived descriptors4Machine learning–guided SCAPS-1D design of lead-free CH₃NH₃SnI₃ perovskite solar cells with 40.17% simulated PCE4ML-integrated predictive modeling and performance evaluation of inorganic Ba3SbI3 perovskite solar cell using SCAPS-1D2Machine learning-assisted optimization of eco-friendly Sb₂S₃ thin-film solar cells: a sustainable SCAPS-1D and SHAP-based design framework3Artificial Intelligence Enabling Intelligent Solar Energy Systems: Integration and Emerging Directions5Performance analysis and current matching optimization of KGeCl3 based tandem solar cell using SCAPS-1D with a machine learning approach0Modelling and Simulations of Perovskite Solar Cells0Using Explainable Artificial Intelligence to Predict Perovskite Solar Cell Electrical Metastability from Operando Photoluminescence Images in Accelerated Stress Testing3Beyond manual processing: Robotic-arm automation coupled with machine learning for precision control and correlation insights in perovskite solar cells0An attention-based joint neural model coupled with genetic algorithm for advanced optimization of CsGeI3 perovskite solar cell performance0Machine learning prediction of perovskite solar cell efficiency across standardized experimental data0Machine learning-assisted first-principles investigation of structural, electronic, and photovoltaic properties of perovskite materials0A systematic review of AI assisted SCAPS 1D modeling for hydrophilic degradation analysis and efficiency retention in perovskite solar cells0A hybrid SCAPS-1D–machine learning framework for electron transport layer optimization in CH3NH3SnI3 -based perovskite solar cells0

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  1. Performance assessment of earth-abundant Kesterite and lead-free chalcogenide-based perovskite solar cells using SCAPS-1D

    Optik · 2023-10-20

    Himanshu Dixit, Nitin Kumar Bansal, Shivam Porwal, Dinesh Kumar, Trilok Singh

    Read original paper ↗ ·

  2. N-Methyl-2-pyrrolidone driven solvent engineering of hybrid perovskite solar cells fabricated under air ambient conditions

    Surfaces and Interfaces · 2023-12-10

    Nitin Kumar Bansal, Shivam Porwal, Trilok Singh

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  3. Engineering of antisolvent dripping for large-area perovskite solar cell fabrication under air ambient conditions

    Journal of Materials Science Materials in Electronics · 2023-12-18

    Nitin Kumar Bansal, Subrata Ghosh, Shivam Porwal, Trilok Singh

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  4. Evaluation of design and device parameters for lead-free Sr 3 PBr 3 /Sr 3 NCl 3 duel-layer perovskite photovoltaic device technology

    RSC Advances · 2024-01-01

    Md. Shamim Reza, Md. Shamim Reza, Avijit Ghosh, Nidhal Drissi, Hmoud Al-Dmour, Ripan Kumar Prodhan, Md Majharul Islam, Shirin Begum, Md. Selim Reza, Md. Selim Reza, Sabina Sultana

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  5. Numerical analysis and device modelling of a lead-free Sr 3 PI 3 /Sr 3 SbI 3 double absorber solar cell for enhanced efficiency

    RSC Advances · 2024-01-01

    Avijit Ghosh, Mohammad Fokhrul Islam Buian, Md. Maniruzzaman, Md. Mahfuz Hossain, Abul Kalam Azad, Asif Ahammad Miazee, Islam Ragab, Abeer A. Hassan, Halema A. Alrafai, Siham Khalaf Alla Abdelrahim

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  6. Machine Learning Guided Strategies to Develop High Efficiency Indoor Perovskite Solar Cells

    Advanced Theory and Simulations · 2024-03-20

    Snehangshu Mishra, Sangratna Baburao Gaikwad, Trilok Singh

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  7. Numerical optimization of interface engineering parameters for a highly efficient HTL-free perovskite solar cell

    Materials Today Communications · 2024-04-17

    George G. Njema, Joshua Kiprotich Kibet, Silas M. Ngari, Nicholas Rono

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  8. A review of interface engineering characteristics for high performance perovskite solar cells

    Measurement Energy · 2024-04-25

    George G. Njema, Joshua Kiprotich Kibet, Silas M. Ngari

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  9. Providing a Photovoltaic Performance Enhancement Relationship from Binary to Ternary Polymer Solar Cells via Machine Learning

    Polymers · 2024-05-24

    Jingyue Cao, Zheng Xu

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  10. Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling

    Journal of Materials Science · 2024-05-28

    Seyed Hamed Godasiaei

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  11. Predicting photovoltaic parameters of perovskite solar cells using machine learning

    Journal of Physics Condensed Matter · 2024-05-28

    Hui Zhan, Min Wang, Jialu Chen, Xiang Yin, Yunliang Yue, Jing Lu

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  12. Screening of Functional Small Molecules via Modified Machine Learning Strategy toward Efficient All-Inorganic Perovskite Solar Cells

    ACS Applied Materials & Interfaces · 2024-06-06

    Kunlun Jiang, Zhipeng Ma, Jing Lan, Dehao Chen, Wenzhe Li, Jiandong Fan

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  13. Engineering and Design of Halide Perovskite Photoelectrochemical Cells for Solar‐Driven Water Splitting

    Advanced Functional Materials · 2024-06-25

    Saikiran Sunil Khamgaonkar, Anny Leudjo Taka, Vivek Maheshwari

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  14. Predicting Optimal Solar Cell Design for Enhanced Degradation Resistance based on Environmental Conditions Using Machine Learning

    International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) · 2024-07-04

    Pratik De Sarkar, Rajdeep Karmakar, Rupayan Dutta, K. K. Ghosh

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  15. A comprehensive review of organic frameworks: From synthesis to perovskite solar cells fabrication

    Organic Electronics · 2024-07-22

    Jiajun Wu, Xiao Min Liang, Xianfang Zhou, Fei Wang, Haoran Lin, Quanyao Zhu, Hanlin Hu

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  16. New eco-friendly lead-free double perovskites Rb2FeCdO6 driven semiconducting material for radiation shielding and energy applications: DFT + U based nanoarchitectonics

    Optical and Quantum Electronics · 2024-07-25

    Muhammad Irfan, Emad M. Ahmed, Shams A.M. Issa, Hesham M.H. Zakaly

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  17. Machine Learning-Enabled performance exploration to unveil the potential of AuCuSe4 in thermophotovoltaic cell

    Solar Energy · 2024-08-22

    Ahnaf Tahmid Abir, Arifuzzaman Joy, Sheikh Noman Shiddique, Muhammad Aminul Haque Chowdhury, Mainul Hossain, Jaker Hossain, Jaker Hossain

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  18. Machine learning for perovskite optoelectronics: a review

    Advanced Photonics · 2024-08-27

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

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  19. Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells

    npj Computational Materials · 2024-09-10

    Sreeram Valsalakumar, Shubhranshu Bhandari, Anurag Roy, Tapas Kumar Mallick, Justin Hinshelwood, Senthilarasu Sundaram

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  20. Signal Components and Impedance Spectroscopy of Potential p‐Si/n‐CdS/ALD‐ZnO Solar Cells: EIS and SCAPS‐1D Treatments

    Advanced Theory and Simulations · 2024-09-10

    Atish Kumar Sharma, Ankita Srivastava, Prakash Kumar Jha, Keyur Sangani, Nitesh K. Chourasia, Ritesh Kumar Chourasia

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  21. Digital manufacturing of perovskite materials and solar cells

    Applied Energy · 2024-09-17

    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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  22. Examining the electronic, structural, optical, and photovoltaic capabilities of Sr3AsBr3 perovskite under tensile and compressive strains with DFT and SCAPS-1D

    Surfaces and Interfaces · 2024-09-30

    Avijit Ghosh, Nondon Lal Dey, Nasser S. Awwad, Abul Kashem Mohammad Yahia, Mohammad Shahjalal, Hala A. Ibrahium

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  23. Recent Progress on Perovskite Materials for VOC Gas Sensing

    Langmuir · 2024-10-08

    Paulomi Singh, Nitin Kumar Bansal, Sutapa Dey, Rajendra V. Singh, Trilok Singh

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  24. Study of Photodegradation of Organic Solar Cells Under Brazilian Climate Conditions

    Energies · 2024-11-06

    Lucas Phillip Zólio Gonzaga de Moraes, Antonia Sônia A.C. Diniz, Marcelo Vianna, Lawrence Lee Kazmerski, Gabriela Amorim Soares

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

    Materials Today Energy · 2024-11-15

    Ling Mao, Changying Xiang

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  26. Composition engineering guided experimental fabrication of Cs(1-n)AnPb(1-m)BmX3 via machine learning for high-efficiency solar cells

    Physics Letters A · 2024-11-15

    Zhi-Han Sun, Lu-Di Zhang, Hong‐Jian Feng

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  27. Machine Learning Models for Efficient Property Prediction of ABX 3 Materials: A High-Throughput Approach

    ACS Omega · 2024-11-18

    Soundous Touati, Ali Benghia, Zoulikha Hebboul, Ibn Khaldoun Lefkaier, Mohammed Benali Kanoun, Souraya Goumri‐Said

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  28. Achieving over 30% efficiency employing a novel double absorber solar cell configuration integrating Ca3NCl3 and Ca3SbI3 perovskites

    Journal of Physics and Chemistry of Solids · 2024-12-03

    Avijit Ghosh, Nowshin Suraiah, Nondon Lal Dey, Md Al Imran, Khorshed Alam, Abul Kashem Mohammad Yahia, Mohammad Shahjalal, Md. Mahfuz Hossain, Noureddine Ali Elboughdiri, Yedluri Anil Kumar, Abeer A. Hassan, Halema A. Alrafai

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  29. Machine learning for a sustainable energy future

    Chemical Communications · 2024-12-05

    Burcu Oral, Ahmet Çoşgun, Aysegul Kilic, Damla Eroğlu, Mehmet Erdem Günay, Ramazan Yıldırım

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  30. Predicting and analyzing stability in perovskite solar cells: Insights from machine learning models and SHAP analysis

    Materials Today Energy · 2024-12-09

    Jiacheng Chen, Yaohui Zhan, Zhenhai Yang, Yue Zang, Wensheng Yan, Xiaofeng Li

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  31. Advanced Photovoltaic Degradation Analysis using Physics Modeling and Bayesian Machine Learning

    Unknown journal · 2024-12-13

    Joseph Chakar

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  32. Innovative double absorber solar cell design combining Ca3AsI3 and Ca3PI3 perovskites for achieving over 29% efficiency

    Optics & Laser Technology · 2024-12-31

    Avijit Ghosh, Nondon Lal Dey, Md Rafid Hasan, Md Aliahsan Bappy, Md. Humaun Kabir, Shirin Begum, Shahan Ahmed, Alam Howlader, Nasser S. Awwad, Huriyyah A. Alturaifi

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  33. Design and efficiency improvement of eco-conscious Sr3PBr3 and Sr3NCl3 double perovskite solar cells with IGZO and Cu2O as ETL and HTL

    Energy Nexus · 2025-03-17

    Md．Shamim Reza, Avijit Ghosh, Md. Selim Reza, Shafaiet Newaz Wornob, Sabina Sultana

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  34. AI Augmented ETL Pipelines for Automated Data Quality Anomaly Detection and Governance

    International Journal of Computational and Experimental Science and Engineering · 2025-03-30

    Raghu Gopa

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  35. Accelerating the discovery of direct bandgap perovskites for solar energy via machine learning

    Materials Today Communications · 2025-04-01

    Yuxin Zhan, Xiaojie Ren, Shuai Zhao, Zhanglin Guo

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  36. Studies of using RbPbBr3 and AgCdF3 as double absorber layer in solar cell to enhance the efficiency up to 31%

    Optics Communications · 2025-04-26

    Md. Selim Reza, Avijit Ghosh, Md Al Imran, Md. Aktarujjaman, Md Aliahsan Bappy, Anup Kumar Roy, Muhammad Ihsan Ibn Rahim, Asma S. Al‐Wasidi, Jehan Y. Al‐Humaidi, Aijaz Rasool Chaudhry

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  37. The Development and Evaluation of Hybrid Solar Cells Based on Perovskites and CIGS with Different ETL for Increased Photovoltaic Efficiency Using SCAPS-1D

    Langmuir · 2025-05-14

    Md. Abdul Monnaf, Avijit Ghosh, Saeed Hasan Nabil, Md. Mahfuzul Islam, Tamanna Rashid, Abdullah Al Fathah, Khorshed Alam, Huriyyah A. Alturaifi, Nasser S. Awwad

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  38. Multi-Model Deep Learning Framework for Defect Detection in Mixed-Dimensionality FAPbI₃ Perovskite Films

    International Journal of Advanced Research in Science Communication and Technology · 2025-06-14

    Ashray Saini, Rishabh Sahani

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  39. Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU

    Scientific Reports · 2025-07-26

    Louiza Ait Mouloud, Aissa Kheldoun, Samira Oussidhoum, Hisham Alharbi, Saud Alotaibi, Thabet M. Alzahrani, Takele Ferede Agajie

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  40. Efficiency Improvement of Ingan Solar Cell Based on Bayesian Optimization

    International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC) · 2025-08-08

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  41. Machine Learning‐Assisted Novel Photovoltaic Optimization for Tailored Ultra‐Thin CdTe‐Based Solar Cells

    Solar RRL · 2025-08-28

    Erman Çokduygulular, Çağlar Çetinkaya

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  42. An innovative machine learning based approach for predicting the efficiency of a chalcogenide perovskite semiconductor photovoltaic cell

    Optical and Quantum Electronics · 2025-09-27

    B. Bazeer Ahamed, Debashish Pal, Pranoy Ghosh, Arijit De

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  43. Machine-learning driven approach for exploration of properties of antimony chalcogenide perovskite based double absorber with back surface field layer

    Optical and Quantum Electronics · 2025-10-10

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  44. Bridging the AI–Energy Paradox: A Compute-Additionality Covenant for System Adequacy in Energy Transition

    Sustainability · 2025-10-24

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  45. Application of Machine Learning for Performance Analysis and Composition Tuning in Mixed Halide Cs2Ti(Cl1−xBrx)6 Solar Devices

    Journal of Electronic Materials · 2025-10-27

    Vipul Pamwani, Jaspinder Kaur, Rikmantra Basu, Ajay Kumar Sharma, Jaya Madan, Rahul Pandey

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  46. Enhancing photovoltaic parameters through anti-reflective coatings: A DFT and machine learning-based study

    Journal of Physics and Chemistry of Solids · 2025-11-01

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  47. Optimization of Lead‐Free Perovskite Solar Cell Architecture Using Machine Learning and Numerical Simulations

    Advanced Theory and Simulations · 2025-11-14

    Md. Arifur Rahman, Mohammad Jahangir Alam

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  48. Lattice constant prediction of ABX3 and A2BB′X6 perovskites using autoregressive type 3 fuzzy model optimized by extended Kalman filter

    Computational Materials Science · 2025-11-21

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  49. A multi-model deep learning framework for SEM-based defect detection in $$\textrm{FAPbI}_3$$ Perovskite thin films

    Scientific Reports · 2025-11-25

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  50. Numerical and machine learning approaches for efficiency optimization of lead-free Rb2LiGaI6 double perovskite solar cells

    Inorganic Chemistry Communications · 2025-12-03

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