Papers citing Machine Learning for Perovskites' Reap-Rest-Recovery Cycle
Perovskite-quantum dot hybrid solar cells: a multi-win strategy for high performance and stability
Journal of Materials Chemistry A · 2023
Ke Huang, Junlong Liu, Jianjuan Yuan, Wenchao Zhao, Kui Zhao, Zhihua Zhou
Read original paper ↗ ·Accelerating defect analysis of solar cells via machine learning of the modulated transient photovoltage
Fundamental Research · 2023
Yusheng Li, Yiming Li, Jiangjian Shi, Licheng Lou, Xiao Xu, Yuqi Cui, Jionghua Wu, Dongmei Li, Yanhong Luo, Huijue Wu, Qing Shen, Qingbo Meng
Read original paper ↗ ·Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy
ACS Energy Letters · 2023
Meghna Srivastava, Abigail R. Hering, Yu An, Juan‐Pablo Correa‐Baena, Marina S. Leite
Read original paper ↗ ·DeepDeg: Forecasting and explaining degradation in novel photovoltaics
ChemRxiv · 2023
Felipe Oviedo, David S. Hayden, Thomas Heumeuller, Jonas Wortmann, José Darío Perea, Richa R. Naik, Hansong Xue, Juan Lavista Ferres, John Sheridan Fisher, Christoph Josef Brabec, Tonio Buonassisi
Read original paper ↗ ·Mechanical energy metamaterials in interstellar travel
Progress in Materials Science · 2023
Pengcheng Jiao
Read original paper ↗ ·A new 1-D polymeric chains of (C2H5N4)[CdCl3(H2O)] perovskite: elaboration, structure, surface interaction analysis, vibrational study, and thermal behavior
Chemical Papers · 2023
Mohamed Habib Mrad
Read original paper ↗ ·Emerging opportunities for hybrid perovskite solar cells using machine learning
APL Energy · 2023
Abigail R. Hering, Mansha Dubey, Marina S. Leite
Read original paper ↗ ·Recent Progress in Interfacial Dipole Engineering for Perovskite Solar Cells
Nano-Micro Letters · 2023
Yinyi Ma, Jue Gong, Peng Zeng, Mingzhen Liu
Read original paper ↗ ·Synergy of 3D and 2D Perovskites for Durable, Efficient Solar Cells and Beyond
Chemical Reviews · 2023
Isaac Metcalf, Siraj Sidhik, Hao Zhang, Ayush Agrawal, Jessica H. Persaud, Jin Hou, Jacky Even, Aditya D. Mohite
Read original paper ↗ ·Machine Learning Enhanced High‐Throughput Fabrication and Optimization of Quasi‐2D Ruddlesden–Popper Perovskite Solar Cells
Advanced Energy Materials · 2023
Nastaran Meftahi, Maciej Adam Surmiak, Sebastian O. Fürer, Kevin J. Rietwyk, Jianfeng Lu, Sonia R. Raga, C.C. Evans, Monika Michalska, Hao Deng, David P. McMeekin, Tuncay Alan, Dechan Angmo, Doojin Vak, Anthony Chesman, Andrew Joseph Christofferson, David A. Winkler, Udo Bach, Salvy P. Russo
Read original paper ↗ ·Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Advanced Energy and Sustainability Research · 2023
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy S. Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam
Read original paper ↗ ·Multimodal Characterization of Halide Perovskites: From the Macro to the Atomic Scale
Venue not supplied by source · 2023
Tiarnan A. S. Doherty, Samuel D. Stranks
Read original paper ↗ ·Predictive Design of Hybrid Improper Ferroelectric Double Perovskite Oxides
Chemistry of Materials · 2023
Palanichamy Gayathri, Saurabh Ghosh, Ayana Ghosh
Read original paper ↗ ·Development and application of Few-shot learning methods in materials science under data scarcity
Journal of Materials Chemistry A · 2024
Yongxing Chen, Long Peng, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji
Read original paper ↗ ·Development on inverted perovskite solar cells: A review
Heliyon · 2024
Emmanuel A. Nyiekaa, Timothy A. Aika, Patience Ebehiremen Orukpe, Christopher Ehiaguina Akhabue, Eli Danladi
Read original paper ↗ ·Identifying Performance Limiting Parameters in Perovskite Solar Cells Using Machine Learning
Solar RRL · 2024
Oliver Zbinden, Evelyne Knapp, Wolfgang Tress
Read original paper ↗ ·Heterogeneity of Light-Induced Open-Circuit Voltage Loss in Perovskite/Si Tandem Solar Cells
ACS Energy Letters · 2024
Zhi-Wei Tao, Teng Lü, Xiang Gao, Mathias Uller Rothmann, Yang Jiang, Ziyue Qiang, Hong‐Qiang Du, Chang Guo, Long-Hui Yang, Caixia Wang, Yun Liu, Yi‐Bing Cheng, Wei Li
Read original paper ↗ ·Geometric data analysis-based machine learning for two-dimensional perovskite design
Communications Materials · 2024
Chuan-Shen Hu, Rishikanta Mayengbam, Min-Chun Wu, Kelin Xia, Tze Chien Sum
Read original paper ↗ ·Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Journal of Energy Chemistry · 2024
Bonghyun Jo, Wenning Chen, Hyun Suk Jung
Read original paper ↗ ·The impact of charge carrier dynamics on the outdoor performance of cesium-lead-halide perovskite photovoltaics
Physica Scripta · 2024
Getnet M Meheretu, Moges Tsega, Getasew Admasu Wubetu
Read original paper ↗ ·Imaging Locally Inhomogeneous Properties of Metal Halide Perovskites
Advanced Materials · 2024
Sofiia Kosar, Stefaan De Wolf
Read original paper ↗ ·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
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 ↗ ·Advancements in perovskites for solar cell commercialization: A review
Advanced Powder Materials · 2025
Tejas Dhanalaxmi Raju, Vignesh Murugadoss, Kiran A. Nirmal, Tukaram Dattatray Dongale, Arul Varman Kesavan, Tae Geun Kim
Read original paper ↗ ·Pre-Embedded Potassium Acetate-Modified SnO2 Electron Transfer Layer for Efficient and Durable Perovskite Solar Cells
Nano Letters · 2025
Lina Qin, Mengfei Zhu, Min Zhang, Junchuan Liang, Xingkai Ma, Pengbo Zhang, Daocheng Hong, Yaoda Wang, Yuxi Tian, Huapeng Sun, Zuoxiu Tie, Yan Xiong, Zhong Jin
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 ↗ ·Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development
Solar RRL · 2025
Zhuo Feng, Xu Zhu, Meng Hao, Antai Yang, Jixin Tang, Chengquan Zhong, Kailong Hu, Jiakai Liu, Jingzi Zhang, Xi Lin
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 ↗ ·Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing
Carbon Energy · 2025
H W Liu, Kangyan Liu, B. S. Zhang, Ziang Chen, Yi Yang, Qiang Sun, Tao Ye, Bed Poudel, Kai Wang, Congcong Wu
Read original paper ↗ ·Explainable distributional structure of MXene compositions revealed by Shapley analysis
APL Machine Learning · 2026
Tommy Liu, Amanda Susan Barnard
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 Data to Discovery: Crafting Data‐Driven Frameworks for Advancing OER Electrocatalysts
Advanced Functional Materials · 2026
Lu Jia, Zihao Jin, Yueyang Tan, Zhongyan Zhang, Yayun Pu, Yang‐Gang Wang, Limin Huang
Read original paper ↗ ·Towards system-level artificial intelligence in perovskite photovoltaics
Nature Reviews Electrical Engineering · 2026
Yifan Li, Wei Liu, Qing Cao, Shimin Di, Mohammad Khaja Nazeeruddin, Guixiang Li
Read original paper ↗ ·