Papers citing Machine Learning for Understanding Compatibility of Organic–Inorganic Hybrid Perovskites with Post-Treatment Amines
Methylamine-induced defect-healing and cationic substitution: a new method for low-defect perovskite thin films and solar cells
Journal of Materials Chemistry C · 2019
Jin-an Yang, Tianxu Qin, Lisha Xie, Kejun Liao, Tingshuai Li, Feng Hao
Read original paper ↗ ·Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives‐Based Ternary Organic Solar Cells at Ternary Blend Design
Advanced Energy Materials · 2019
Min‐Hsuan Lee
Read original paper ↗ ·Machine Learning for Understanding the Relationship between the Charge Transport Mobility and Electronic Energy Levels for n‐Type Organic Field‐Effect Transistors
Advanced Electronic Materials · 2019
Min‐Hsuan Lee
Read original paper ↗ ·Challenges and Directions for Green Chemical Engineering—Role of Nanoscale Materials
Elsevier eBooks · 2019
Andrew Guy Livingston, Bernhardt L. Trout, István T. Horváth, Martin D. Johnson, Luigi Vaccaro, Joaquı́n Coronas, Callie W. Babbitt, Xiangliang Zhang, Thalappil Pradeep, Enrico Drioli, John D. Hayler, Kam Chiu Tam, Christian Oliver Kappe, Anthony Gordon Fane, György Székely
Read original paper ↗ ·A Machine Learning–Based Design Rule for Improved Open‐Circuit Voltage in Ternary Organic Solar Cells
Advanced Intelligent Systems · 2019
Min-Hsuan Lee
Read original paper ↗ ·Performance and Matching Band Structure Analysis of Tandem Organic Solar Cells Using Machine Learning Approaches
Energy Technology · 2019
Min-Hsuan Lee
Read original paper ↗ ·Identification of host–guest systems in green TADF-based OLEDs with energy level matching based on a machine-learning study
Physical Chemistry Chemical Physics · 2020
Min-Hsuan Lee
Read original paper ↗ ·Toward ideal hole transport materials: a review on recent progress in dopant-free hole transport materials for fabricating efficient and stable perovskite solar cells
Energy & Environmental Science · 2020
Xinxing Yin, Zhaoning Song, Zaifang Li, Weihua Tang
Read original paper ↗ ·Structural Deformation Controls Charge Losses in MAPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
ACS Energy Letters · 2020
Guoqing Zhou, Weibin Chu, Oleg V. Prezhdo
Read original paper ↗ ·Efficient and stable perovskite solar cells via surface passivation of an ultrathin hydrophobic organic molecular layer
Chemical Engineering Journal · 2020
Jing Li, Tongle Bu, Zhipeng Lin, Yanping Mo, Nianyao Chai, Xiaofeng Gao, Meng Ji, Xiaoli Zhang, Yi‐Bing Cheng, Fuzhi Huang
Read original paper ↗ ·Effect of Increasing the Descriptor Set on Machine Learning Prediction of Small Molecule-Based Organic Solar Cells
Chemistry of Materials · 2020
Zhi‐Wen Zhao, Marcos del Cueto, Yun Geng, Alessandro Troisi
Read original paper ↗ ·Ambient Pressure X-ray Photoelectron Spectroscopy Investigation of Thermally Stable Halide Perovskite Solar Cells via Post-Treatment
ACS Applied Materials & Interfaces · 2020
Shougui Ning, Songwei Zhang, Jiaonan Sun, Congping Li, Jingfeng Zheng, Yehia M. Khalifa, Shouhuan Zhou, Jing Cao, Yiying Wu
Read original paper ↗ ·Machine learning for halide perovskite materials
Nano Energy · 2020
Lei Zhang, Mu He, Shaofeng Shao
Read original paper ↗ ·Element Code from Pseudopotential as Efficient Descriptors for a Machine Learning Model to Explore Potential Lead-Free Halide Perovskites
The Journal of Physical Chemistry Letters · 2020
Meng‐Huan Jao, Shun‐Hsiang Chan, Ming‐Chung Wu, Chao‐Sung Lai
Read original paper ↗ ·Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning
arXiv (Cornell University) · 2020
John M. Howard, Qiong Wang, Lee, Erica, Richa Lahoti, Tao Gong, Meghna Srivastava, Antonio Abate, Marina S. Leite
Read original paper ↗ ·Machine learning in materials design: Algorithm and application*
Chinese Physics B · 2020
Zhilong Song, Xiwen Chen, Fanbin Meng, Guanjian Cheng, Chen Wang, Zhongti Sun, Wan‐Jian Yin
Read original paper ↗ ·Critical review of machine learning applications in perovskite solar research
Nano Energy · 2020
Beyza Yılmaz, Ramazan Yıldırım
Read original paper ↗ ·Organic–inorganic hybrid and inorganic halide perovskites: structural and chemical engineering, interfaces and optoelectronic properties
Journal of Physics D Applied Physics · 2020
Shrreya Krishnamurthy, Padmini Pandey, Jagjit Kaur, Sudip Chakraborty, Pabitra K. Nayak, Aditya Sadhanala, Satishchandra Ogale
Read original paper ↗ ·Moisture‐Resistant FAPbI3 Perovskite Solar Cell with 22.25 % Power Conversion Efficiency through Pentafluorobenzyl Phosphonic Acid Passivation
ChemSusChem · 2020
Erdi Akman, Ahmed Esmail Shalan, Faranak Sadegh, Seçkin Akın
Read original paper ↗ ·Machine Learning Accelerated Insights of Perovskite Materials
Springer series in materials science · 2021
Shuaihua Lu, Yilei Wu, Ming‐Gang Ju, Jinlan Wang
Read original paper ↗ ·Machine Learning and First-Principles Insights on Molecularly Modified CH 3NH 3PbI 3 Film in Water
SSRN Electronic Journal · 2021
Lei Zhang, Mu He, Wenguang Hu, Hongfeng Ge
Read original paper ↗ ·Passivation and process engineering approaches of halide perovskite films for high efficiency and stability perovskite solar cells
Energy & Environmental Science · 2021
Abd. Rashid bin Mohd Yusoff, Maria Vasilopoulou, Dimitra G. Georgiadou, Leonidas C. Palilis, Antonio Abate, Mohammad Khaja Nazeeruddin
Read original paper ↗ ·Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells
Advanced Functional Materials · 2021
Kakaraparthi Kranthiraja, Akinori Saeki
Read original paper ↗ ·Machine learning and symbolic regression investigation on stability of MXene materials
Computational Materials Science · 2021
Mu He, Lei Zhang
Read original paper ↗ ·Is machine learning redefining the perovskite solar cells?
Journal of Energy Chemistry · 2021
Nishi Parikh, Meera R. Karamta, Neha Yadav, Mohammad Mahdi Tavakoli, Daniel Prochowicz, Seçkin Akın, Abul Kalam, Soumitra Satapathi, Pankaj Yadav
Read original paper ↗ ·Predictive Design Model for Low-Dimensional Organic–Inorganic Halide Perovskites Assisted by Machine Learning
Journal of the American Chemical Society · 2021
Ruiyang Lyu, Curtis E. Moore, Tianyu Liu, Yongze Yu, Yiying Wu
Read original paper ↗ ·Machine Learning Roadmap for Perovskite Photovoltaics
The Journal of Physical Chemistry Letters · 2021
Meghna Srivastava, John M. Howard, Tao Gong, Mariama Rebello Sousa Dias, Marina S. Leite
Read original paper ↗ ·Dependence between Structural and Electronic Properties of CsPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
The Journal of Physical Chemistry Letters · 2021
Spencer M. Mangan, Guoqing Zhou, Weibin Chu, Oleg V. Prezhdo
Read original paper ↗ ·Study of the Relationship between Synthesis Descriptors and the Type of Zeolite Phase Formed in ZSM‐43 Synthesis by Using Machine Learning
ChemistrySelect · 2021
Ganesan Raman
Read original paper ↗ ·Accelerated discovery of defect tolerant organo-halide perovskites
Journal of Materials Chemistry C · 2022
N. Işleyen, Ayşenur Corcor, S. Çakirefe, N. Ormanli, E. N. Kanat, İlhan Yavuz
Read original paper ↗ ·Interactions between gas molecules and two-dimensional Ruddlesden–Popper halide perovskite
Journal of Applied Physics · 2022
Lei Zhang, Shaofeng Shao
Read original paper ↗ ·Bond length alternation- and data mining-assisted exploration of molecular adsorbates with π-conjugation and amines for two-dimensional halide perovskite surface
Structural Chemistry · 2022
Lei Zhang, Chao Xu, Wenguang Hu
Read original paper ↗ ·From Structural Design to Functional Construction: Amine Molecules in High‐Performance Formamidinium‐Based Perovskite Solar Cells
Angewandte Chemie International Edition · 2022
Chunpeng Fu, Zhenkun Gu, Yan Tang, Qian Hui Xiao, Shasha Zhang, Yiqiang Zhang, Yanlin Song
Read original paper ↗ ·From Structural Design to Functional Construction: Amine Molecules in High‐Performance Formamidinium‐Based Perovskite Solar Cells
Angewandte Chemie · 2022
Chunpeng Fu, Zhenkun Gu, Yan Tang, Qian Hui Xiao, Shasha Zhang, Yiqiang Zhang, Yanlin Song
Read original paper ↗ ·Photoelectrochemical Properties, Machine Learning, and Symbolic Regression for Molecularly Engineered Halide Perovskite Materials in Water
ACS Applied Materials & Interfaces · 2022
Zhengwei Pan, Yinguo Zhou, Lei Zhang
Read original paper ↗ ·Identifying correlation between the open-circuit voltage and the frontier orbital energies of non-fullerene organic solar cells based on interpretable machine-learning approaches
Solar Energy · 2022
Min‐Hsuan Lee
Read original paper ↗ ·Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning
The Journal of Physical Chemistry Letters · 2022
John M. Howard, Qiong Wang, Meghna Srivastava, Tao Gong, Erica Lee, Antonio Abate, Marina S. Leite
Read original paper ↗ ·Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in Water
The Journal of Physical Chemistry C · 2022
Lei Zhang, Wenguang Hu, Mu He, Kun Xu, Zhengwei Pan
Read original paper ↗ ·Machine learning and first-principles insights on molecularly modified CH3NH3PbI3 film in water
Applied Surface Science · 2022
Lei Zhang, Mu He, Wenguang Hu, Hongfeng Ge
Read original paper ↗ ·Dye-modified halide perovskite materials
Organic Electronics · 2022
Lei Zhang, Wenguang Hu, Shaofeng Shao
Read original paper ↗ ·Machine learning and symbolic regression for adsorption of atmospheric molecules on low-dimensional TiO2
Applied Surface Science · 2022
Jiachi Xie, Lei Zhang
Read original paper ↗ ·Molecular design for perovskite solar cells
International Journal of Energy Research · 2022
Lei Zhang, Wenguang Hu
Read original paper ↗ ·Deep Learning for Materials Recognition from FTIR Images
Journal of Research in Science and Engineering · 2022
Read original paper ↗ ·First-principles investigation on adsorption of anchors on two-dimensional halide perovskite material
Applied Surface Science · 2022
Lei Zhang, Shenyue Li, Wenguang Hu
Read original paper ↗ ·Image-based machine learning for materials science
Journal of Applied Physics · 2022
Lei Zhang, Shaofeng Shao
Read original paper ↗ ·Topological feature engineering for machine learning based halide perovskite materials design
npj Computational Materials · 2022
D. Vijay Anand, Qiang Xu, JunJie Wee, Kelin Xia, Tze Chien Sum
Read original paper ↗ ·Accelerated innovation in developing high-performance metal halide perovskite solar cell using machine learning
International Journal of Modern Physics B · 2022
Anjan Kumar, Sangeeta Singh, Mustafa K. A. Mohammed, Dilip Kumar Sharma
Read original paper ↗ ·Complete Solution-Processed Semitransparent and Flexible Organic Solar Cells: A Success of Polyimide/Ag-Nanowires- and PH1000-Based Electrodes with Plasmonic Enhanced Light Absorption
Nanomaterials · 2022
Jing Wang, Xiangfei Liang, Jianing Xie, Xiaolong Yin, Jinhao Chen, Tianfu Gu, Yueqi Mo, Jianqing Zhao, Shumei Liu, Donghong Yu, Jibin Zhang, Lintao Hou
Read original paper ↗ ·Localization control of 2D/3D perovskite heterostructures at grain boundaries by amine-vapor-induced dimensionality reduction
Journal of Alloys and Compounds · 2022
Xiaolong Shen, Changjiang Liu, Wen Xiao Fang, Xiangqing Zhou, Jing Liao, Haijin Li
Read original paper ↗ ·Geometric and topological AI for molecular sciences
Venue not supplied by source · 2023
JunJie Wee
Read original paper ↗ ·