Papers citing Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines
Machine learning in energy chemistry: introduction, challenges and perspectives
Energy Advances · 2023
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Read original paper ↗ ·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
Read original paper ↗ ·Machine-Learning-Assisted Screening of Interface Passivation Materials for Perovskite Solar Cells
ACS Energy Letters · 2023
Chongyang Zhi, Suo Wang, Shijing Sun, Zhen Li, Zhihao Li, Zhihao Li, Zhi Jian Wan, Hongqiang Wang, Zhen Li, Zhen Li, Zhe Liu
Read original paper ↗ ·Machine learning investigation to predict the relationship between photoluminescence and crystalline properties of blue phosphor Ba0.9-xSrxMgAl10O17:Eu2+
Journal of Science Advanced Materials and Devices · 2023
Tae-Guan Kim, Jurakuziev Dadajon Boykuzi Ugli, Mohammad Shaheer Akhtar, O–Bong Yang
Read original paper ↗ ·High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap
Materials Today Communications · 2023
Wenguang Hu, Lei Zhang
Read original paper ↗ ·Machine learning assisted classification of post-treatment amines for increasing the stability of organic-inorganic hybrid perovskites
Materials Today Communications · 2023
Jing Zheng, Lu Tian, Zhengheng Lian, Zhengheng Lian, Minjie Li
Read original paper ↗ ·Machine learning for perovskite solar cell design
Computational Materials Science · 2023
Zhan Hui, Min Wang, Xiang Qian Yin, Yanan Wang, Yunliang Yue
Read original paper ↗ ·First-principles and machine learning modeling on adsorption of atmospheric gases on two-dimensional Ruddlesden–Popper halide perovskite surface
Modelling and Simulation in Materials Science and Engineering · 2023
Lei Zhang, Shenyue Li, Wenguang Hu
Read original paper ↗ ·Optimizing Photoelectrochemical Photovoltage and Stability of Molecular Interlayer-Modified Halide Perovskite in Water: Insights from Interpretable Machine Learning and Symbolic Regression
ACS Applied Energy Materials · 2023
Lei Zhang, Wenguang Hu, Mu He, Shenyue Li
Read original paper ↗ ·The role of machine learning in perovskite solar cell research
Journal of Alloys and Compounds · 2023
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Read original paper ↗ ·Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**
Angewandte Chemie International Edition · 2023
Zih‐Yu Lin, Jiaonan Sun, Stephen B. Shiring, Letian Dou, Brett Matthew Savoie
Read original paper ↗ ·Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**
Angewandte Chemie · 2023
Zih‐Yu Lin, Jiaonan Sun, Stephen B. Shiring, Letian Dou, Brett Matthew Savoie
Read original paper ↗ ·Interpretable machine-learning for predicting power conversion efficiency of non-halogenated green solvent-processed organic solar cells based on Hansen solubility parameters and molecular weights of polymers
Solar Energy · 2023
Min‐Hsuan Lee
Read original paper ↗ ·Machine Learning-Assisted Defect Analysis and Optimization for P-I-N-Structured Perovskite Solar Cells
Journal of Electronic Materials · 2023
Seongtak Kim, Younghun Jeong, Dongwoon Han, Chan Bin Mo
Read original paper ↗ ·Machine learning for fast development of advanced energy materials
Next Materials · 2023
Bita Farhadi, Jiaxue You, Dexu Zheng, Lu Liu, Sajian Wu, Jianxun Li, Zhipeng Li, Kai Wang, Shengzhong Frank Liu
Read original paper ↗ ·Machine Learning Prediction of High-Yield Cobalt- and Nickel-Catalyzed Borylations
The Journal of Physical Chemistry C · 2023
Alfredo Pereira, Oleksandra S. Trofymchuk
Read original paper ↗ ·A Data-Driven Platform for Two-Dimensional Hybrid Lead-Halide Perovskites
ACS Nano · 2023
An Chen, Zhilong Wang, Jing Gao, Yanqiang Han, Junfei Cai, Simin Ye, Jinjin Li
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 ↗ ·Frontier Molecular Orbital Offset as an Empirical Descriptor for Predicting Short Circuit Current of Nonfullerene Organic Solar Cells
Solar RRL · 2023
Min‐Hsuan Lee
Read original paper ↗ ·Machine Learning‐Accelerated Development of Perovskite Optoelectronics Toward Efficient Energy Harvesting and Conversion
Advanced Energy and Sustainability Research · 2023
Baian Chen, Rui Chen, Bolong Huang
Read original paper ↗ ·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
Read original paper ↗ ·Emerging Two-Dimensional Organic Semiconductor-Incorporated Perovskites─A Fascinating Family of Hybrid Electronic Materials
Journal of the American Chemical Society · 2023
Jiaonan Sun, Kang Wang, Ke Ma, Jee Yung Park, Zih‐Yu Lin, Brett Matthew Savoie, Letian Dou
Read original paper ↗ ·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
Read original paper ↗ ·Accelerated Multisolvent Prediction for Aqueous Stable Halide Perovskite Materials
ACS Applied Materials & Interfaces · 2023
Yiru Huang, Shenyue Li, Lei Zhang
Read original paper ↗ ·Prediction of photoelectric conversion efficiency of organic photovoltaic materials based on deep learning
International Conference on Mechanical Engineering, Materials and Automation Technology (MMEAT) · 2023
Xiangyu Kong, Bohao Xu
Read original paper ↗ ·Absorber Layer Thickness as a New Feature in Statistical Learning Tools of Perovskite Solar Cells
Journal of Applied Research and Technology · 2023
Jeisson Emilio Velez Sanchez, Mónica Andrea Botero Londoño, Alexander Sepúlveda, C. A. Otálora, Cristian David Camacho Parra
Read original paper ↗ ·A present scenario of the computational approaches for ternary organic solar cells
Journal of Renewable and Sustainable Energy · 2023
Oscar Eraso, Daniela Bolaños, Nikolas Echeverri, Carolina Orozco Donneys, Tayebeh Ameri, José Darío Perea
Read original paper ↗ ·Accelerated design of stable halide perovskite heterostructure film in hostile condition via surface modifier
Organic Electronics · 2023
Shenyue Li, Yiru Huang, Lei Zhang
Read original paper ↗ ·Machine learning–assisted colloidal synthesis: A review
Materials Today Chemistry · 2023
Dayana Gulevich, Igor R. Nabiev, Pavel S. Samokhvalov
Read original paper ↗ ·Explainable optimized 3D-MoRSE descriptors for the power conversion efficiency prediction of molecular passivated perovskite solar cells through machine learning
Journal of Materials Chemistry A · 2024
Xin Ye, Ningyi Cui, Wen Ou, Donghua Liu, Yufan Bao, Bin Ai, Yecheng Zhou
Read original paper ↗ ·Perovskite single crystal SCLC measurement prediction using a machine learning model
Journal of Materials Chemistry C · 2024
Sarvani Jowhar Khanam, Harinath Kuruva, Salman Abdul Moiz, Banavoth Murali
Read original paper ↗ ·X射线成像用零维无铅杂化卤化物闪烁体研究进展（特邀）
Laser & Optoelectronics Progress · 2024
李雯 Li Wen, 李云云 Li Yunyun, 迟晓慧 Chi Xiaohui, WU Yuntao
Read original paper ↗ ·A machine learning framework for predicting device performance in 2D metal halide perovskite photodetector
Solar Energy · 2024
Siddhi Vinayak Pandey, Nishi Parikh, Abul Kalam, Daniel Prochowicz, Soumitra Satapathi, Seçkin Akın, Mohammad Mahdi Tavakoli, Pankaj Yadav
Read original paper ↗ ·Machine Learning Application for Nutrient Removal Rate Coefficient Analyses in Horizontal Flow Constructed Wetlands
ACS ES&T Water · 2024
Saurabh Singh, Abhishek Soti, Niha Mohan Kulshreshtha, Akshat Samaria, Urmila Brighu, Akhilendra Bhushan Gupta, Achintya N. Bezbaruah
Read original paper ↗ ·Machine-Learning-Aided Understanding of Protein Adsorption on Zwitterionic Polymer Brushes
ACS Applied Materials & Interfaces · 2024
Hiroto Okuyama, Yuuki Sugawara, Takeo Yamaguchi
Read original paper ↗ ·Versatile photo-sensing ability of paper based flexible 2D-Sb0.3Sn0.7Se2 photodetector and performance prediction with machine learning algorithm
Optical Materials · 2024
Kuntesh Rawal, Patel Dixita Devendrabhai, Pratik M. Pataniya, Prince Jain, Anand Y. Joshi, Gunvant K. Solanki, Mohit Tannarana
Read original paper ↗ ·Machine Learning Tools to Assist the Synthesis of Antibacterial Carbon Dots
International Journal of Nanomedicine · 2024
Zirui Bian, Tianzhe Bao, Xuequan Sun, Ning Wang, Qian Mu, Ting Jiang, Zhongxiang Yu, Junhang Ding, Ting Wang, Qihui Zhou
Read original paper ↗ ·Machine learning-based screening of two-dimensional perovskite organic spacers
Advanced Composites and Hybrid Materials · 2024
Yongxiang Mai, Jianyao Tang, Haogang Meng, Xiaohui Li, Meiyue Liu, Chen Zeng, Putao Zhang, Shengjun 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 ↗ ·Bayesian reverse design of high-efficiency perovskite solar cells based on experimental knowledge constraints
Applied Physics Letters · 2024
Hongyu Liu, Zuyun Chen, Yaping Zhang, Jiang Wu, Lin Peng, Yanan Wang, Xiaolin Liu, Xianfeng Chen, Jia Horng Lin
Read original paper ↗ ·A review on machine learning-guided design of energy materials
Progress in Energy · 2024
Seongmin Kim, Jiaxin Xu, Wenjie Shang, Zhihao Xu, Eungkyu Lee, Tengfei Luo
Read original paper ↗ ·A Futuristic Approach to Subsurface-Constructed Wetland Design for the South-East Asian Region Using Machine Learning
ACS ES&T Water · 2024
Saurabh Singh, Gourav Suthar, Niha Mohan Kulshreshtha, Urmila Brighu, Achintya N. Bezbaruah, Akhilendra Bhushan Gupta
Read original paper ↗ ·Machine learning empowers efficient design of ternary organic solar cells with PM6 donor
Journal of Energy Chemistry · 2024
Kiran A. Nirmal, Tukaram Dattatray Dongale, Santosh Shashikant Sutar, Atul C. Khot, Tae Geun Kim
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 ↗ ·Elevating perovskite efficiency via Machine Learning-Assisted screening of Passivators
Chemical Engineering Journal · 2024
Zhuxia Wu, Lirui Kang, Tengcheng Huang, Xin Xu, Yujia Gao, Weihai Zhang, Weiguang Xie, Tingting Shi
Read original paper ↗ ·Efficiently screening organic ligands by machine learning for stabilizing 2D/3D perovskites
Journal of Materials Chemistry A · 2025
Wei Zhang, Jing Zhang, Chengxu Zhang, Runchao Dong, Yong Xu, Zuobao Yang, Jinju Zheng, Dongsheng Chen, Qiao Liu, Weiyou Yang, Minghui Shang
Read original paper ↗ ·Fabrication Strategies of Mn 2+ ‐Based Scintillation Screens for X‐Ray Detection and Imaging
Angewandte Chemie · 2025
Jiali Fan, Haibo Li, Wei Liu, Gangfeng Ouyang
Read original paper ↗ ·Fabrication Strategies of Mn 2+ ‐Based Scintillation Screens for X‐Ray Detection and Imaging
Angewandte Chemie International Edition · 2025
Jiali Fan, Haibo Li, Wei Liu, Gangfeng Ouyang
Read original paper ↗ ·Unraveling the thermodynamic origins and kinetic pathways of intermediate phase engineering in perovskite solar cells
Matter · 2025
Jinghao Ge, Fengzhu Li, Lu Zhang, Jiaxue You, Shengzhong Frank Liu, Alex K.‐Y. Jen
Read original paper ↗ ·Data‐Driven Molecular Encoding for Efficient Screening of Organic Additives in Perovskite Solar Cells
Advanced Functional Materials · 2025
Yang Pu, Zhiyuan Dai, Yifan Zhou, Ning Jia, Hongyue Wang, Hongyue Wang, Ye. S. Mukhametkarimov, Ruihao Chen, Hongqiang Wang, Hongqiang Wang, Zhe Liu
Read original paper ↗ ·