Papers citing Machine Learning Roadmap for Perovskite Photovoltaics
Identifying Performance Limiting Parameters in Perovskite Solar Cells Using Machine Learning
Solar RRL · 2024
Oliver Zbinden, Evelyne Knapp, Wolfgang Tress
Read original paper ↗ ·Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells
ACS Energy Letters · 2024
Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, Aziz Ben Ali, D. Kishore Kumar, Vediappan Sudhakar, Ritesh Kant Gupta, Iris Visoly‐Fisher, Mónica Lira‐Cantú, Alessio Gagliardi
Read original paper ↗ ·Machine Learning Approach for Predicting the Hole Mobility of the Perovskite Solar Cells
Advanced Theory and Simulations · 2024
Md Al Mamunur Rashid, Seul Lee, Kwang Ho Kim, Jaeoh Kim, Keunhong Jeong
Read original paper ↗ ·Accelerating discovery of tunable optical materials (ATOM)
Venue not supplied by source · 2024
Trish Veeder, Arash Dehhzangi, Shriram Ramanathan, Mikhail A. Kats, Nanfang Yu, Juejun Hu, Christopher Roberts, Mark J. Polking, Kevin Tibbetts, Arka Majumdar, Marina S. Leite, Houman Homayoun, Jeremy N. Munday, K. K. Son
Read original paper ↗ ·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
Read original paper ↗ ·Progress and prospects of quantum emission from perovskites
MRS Communications · 2024
Arka Chatterjee, Sadie Brasel, Autumn Bruncz, Wenjing Wu, Shengxi Huang
Read original paper ↗ ·Adapting Explainable Machine Learning to Study Mechanical Properties of 2D Hybrid Halide Perovskites
Advanced Functional Materials · 2024
Yuxuan Yao, Dan Han, Kieran B. Spooner, Xiaoyu Jia, H. Ebert, David O. Scanlon, Harald Oberhofer
Read original paper ↗ ·Machine learning for perovskite optoelectronics: a review
Advanced Photonics · 2024
Feiyue Lu, Yanyan Liang, Nana Wang, Lin Zhu, Jianpu Wang
Read original paper ↗ ·Imaging Locally Inhomogeneous Properties of Metal Halide Perovskites
Advanced Materials · 2024
Sofiia Kosar, Stefaan De Wolf
Read original paper ↗ ·Machine Learning Optimization of Non-Kasha Behavior and of Transient Dynamics in Model Retinal Isomerization
The Journal of Physical Chemistry Letters · 2024
Davinder Singh, Chern Chuang, Paul W. Brumer
Read original paper ↗ ·Machine learning enhanced characterization and optimization of photonic cured MAPbI3 for efficient perovskite solar cells
Journal of Materials Informatics · 2024
Cody R. Allen, Bishal Bhandari, Weijie Xu, Mark Lee, Julia W. P. Hsu
Read original paper ↗ ·An AI-accelerated pathway for reproducible and stable halide perovskites
Chemical Society Reviews · 2025
Abigail R. Hering, Carolin M. Sutter‐Fella, Marina S. Leite
Read original paper ↗ ·Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication
Energy & Environmental Science · 2025
Felix Laufer, Markus Götz, Ulrich W. Paetzold
Read original paper ↗ ·High-performance perovskite quantum dot synthesis investigated through exploratory data analysis
Nanoscale · 2025
Sabah Gaznaghi, Nick Dashti, Mengmeng Hao, Ardeshir Baktash, Lianzhou Wang
Read original paper ↗ ·Hybrid approach for simulating graded PeDA-DJ perovskite solar cells: SCAPS-1D and machine learning
Chemical Physics Letters · 2025
Shivani Gohri, Jaya Madan, Rahul Pandey
Read original paper ↗ ·Accelerating ionic liquid research in perovskite solar cells through machine learning:Opportunities and challenges
Materials Today Electronics · 2025
Jiazheng Wang, Qiang Lou, Zhengjie Xu, Yufeng Jin, Guibo Luo, Hang Zhou
Read original paper ↗ ·Machine Learning Prediction of Organic–Inorganic Halide Perovskite Solar Cell Performance from Optical Properties
ACS Energy Letters · 2025
Ruiqi Zhang, Brandon T. Motes, Shaun Wee Kiat Tan, Yongli Lu, Meng-Chen Shih, Yilun Hao, Karen Yang, Shreyas Srinivasan, Moungi G. Bawendi, Vladimir Bulović
Read original paper ↗ ·Accelerating the discovery of direct bandgap perovskites for solar energy via machine learning
Materials Today Communications · 2025
Yuxin Zhan, Xiaojie Ren, Shuai Zhao, Zhanglin Guo
Read original paper ↗ ·Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling
Systems · 2025
Woojun Jung, Insung Hwang, Keuntae Cho
Read original paper ↗ ·Optimizing Solar Photovoltaic Power Injection Using Machine Learning: Minimizing Harmonic Distortion Under Inertia Constraints
International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · 2025
Anurag Kumar
Read original paper ↗ ·Machine Learning Accelerated Enhanced Power Conversion Efficiency in FASnI3 Perovskite Solar Cell
Journal of Electronic Materials · 2025
Jugal T. Pandya, J. Mundupuzhakal, Pankaj N. Gajjar, Sanjeev Kumar Gupta
Read original paper ↗ ·Unlocking a self-driving research workflow for perovskite photovoltaics
Matter · 2025
Lifang Xie, Yalan Zhang, Noah Peterkes, Xiao‐Fen Li, Yike Guo, Yuanyuan Zhou
Read original paper ↗ ·Comparative convolutional neural networks for perovskite solar cell PCE predictions
npj Computational Materials · 2025
Milan Harth, Kishore Kumar Devarepally, Said Kassou, Kenza El Idrissi, Ritesh Kant Gupta, Yonatan Daniel, Ofry Makdasi, Iris Visoly‐Fisher, Alessio Gagliardi
Read original paper ↗ ·Silicon–Perovskite Tandem Solar Cells: An Alternative to the Market-Dominated Silicon-Based Solar Cell Technology
ACS Applied Materials & Interfaces · 2025
Aleena Kulsum Abbasi, J. P. Tiwari
Read original paper ↗ ·Explainable artificial intelligence relates perovskite luminescence images to current-voltage metrics
Energy and AI · 2025
Andrew Glaws, Jackson Schall, Andrew Ballen, Amy E. Louks, Kristopher Olan Davis, Axel F. Palmstrom, Juliette Ugirumurera, Dana B. Kern
Read original paper ↗ ·Autoencoder for Parameter Estimation and Current-Voltage Curve Simulation of Perovskite Solar Cells
Research Square · 2025
Oliver Zbinden, Ennio Luigi Comi, Evelyne Knapp, Wolfgang Tress
Read original paper ↗ ·Autoencoder for parameter estimation and current-voltage curve simulation of perovskite solar cells
npj Computational Materials · 2025
Oliver Zbinden, Ennio Luigi Comi, Evelyne Knapp, Wolfgang Tress
Read original paper ↗ ·AI-driven design and applications of quantum dots
Nano Today · 2026
Prince Kumar Soni, Manmohan Lal Satnami, Rekha Nagwanshi, Yogyata Chawre, Ankita Beena Kujur, Akash Sinha, Pinki Miri, Indrapal Karbhal, Kallol Kumar Ghosh
Read original paper ↗ ·Machine learning applications in the design, optimization, and manufacturing of perovskite solar cells
Solar Energy · 2026
Peter I. Udenze, Hao Dong, Dawen Li
Read original paper ↗ ·CsPbI3 Perovskites at the Edge of Commercialization: Persistent Barriers, Multidisciplinary Solutions, and the Emerging Role of AI
J — Multidisciplinary Scientific Journal · 2026
Carlo Spampinato
Read original paper ↗ ·Using Explainable Artificial Intelligence to Predict Perovskite Solar Cell Electrical Metastability from Operando Photoluminescence Images in Accelerated Stress Testing
Solar RRL · 2026
Jackson Schall, Leidong Xu, Andrew Glaws, Ambarish Nag, Dana B. Kern, Juliette Ugirumurera
Read original paper ↗ ·Curated Data Set, Structure–Property Relationships, and Machine Learning Prediction of Band Gaps for One-Dimensional Bismuth(III) and Antimony(III) Halides
Chemistry of Materials · 2026
Andrei V. Bykov, Аndrei V. Shevelkov
Read original paper ↗ ·High‐Accuracy Machine Learning Projections of Composition‐Dependent Thermal Stability in Halide Perovskites
Advanced Materials · 2026
Abigail R. Hering, Mansha Dubey, Elahe Hosseini, Meghna Srivastava, Yu An, Juan‐Pablo Correa‐Baena, Houman Homayoun, Marina S. Leite
Read original paper ↗ ·From first-principles to device performance: a computational perspective on perovskite solar cell design
Russian Physics Journal · 2026
Sameer Pandey, N. Shukla, V. K. Sharma, S. Tiwari
Read original paper ↗ ·A systematic review of AI assisted SCAPS 1D modeling for hydrophilic degradation analysis and efficiency retention in perovskite solar cells
Discover Electronics · 2026
Twinkle Gupta, Ankur Bhardwaj, Ajay Kumar
Read original paper ↗ ·