{"id":3075,"date":"2023-02-14T08:44:46","date_gmt":"2023-02-14T00:44:46","guid":{"rendered":"https:\/\/ieohs.nycu.edu.tw\/?p=3075"},"modified":"2024-01-25T17:27:55","modified_gmt":"2024-01-25T09:27:55","slug":"%e6%9d%8e%e6%97%bb%e8%bb%92-%e5%8a%a9%e7%90%86%e6%95%99%e6%8e%88","status":"publish","type":"post","link":"https:\/\/ieohs.nycu.edu.tw\/?p=3075","title":{"rendered":"\u674e\u65fb\u8ed2 \u52a9\u7406\u6559\u6388"},"content":{"rendered":"\n

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<\/div>\n\n\n\n

PUBLICATIONS<\/h2>\n\n\n\n

List of selected publications (2017-2023)<\/h3>\n\n\n\n
Min-Hsuan Lee, Investigation of the open-circuit voltage of non-fullerene acceptors-based ternary organic solar cells based on interpretable machine-learning approach and chemically inspired descriptors, Journal of Photochemistry and Photobiology A: Chemistry, 450, 2024, 115430<\/td><\/tr>
Min-Hsuan Lee, Predicting and Analyzing the Fill Factor of Non-Fullerene Organic Solar Cells Based on Material Properties and Interpretable Machine-Learning Strategies, Solar Energy, Accepted (IF= 7.1)<\/td><\/tr>
Lee, M. (2023), Frontier Molecular Orbital Offset as an Empirical Descriptor for Predicting Short Circuit Current of Nonfullerene Organic Solar Cells. Sol. RRL, 7: 2300533 (IF=9.178)<\/td><\/tr>
Lee, M. (2023), Interpretable Machine Learning Model for the Highly Accurate Prediction of Efficiency of Ternary Organic Solar Cells Based on Nonfullerene Acceptor using Effective Molecular Descriptors. Sol. RRL, 7: 2300307 (IF=9.178)<\/td><\/tr>
Min-Hsuan Lee, 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, 261, 2023, 7-13 (IF= 7.18)<\/td><\/tr>
Min-Hsuan Lee, Lixiang Chen, Ning Lia and Furong Zhu, MoO3<\/sub>-induced oxidation doping of PEDOT:PSS for high performance full- solution-processed inverted quantum-dot light emitting diodes. J. Mater. Chem. C, 5, 10555-10561(2017) \u7b2c\u4e00\u4f5c\u8005<\/td><\/tr>
Lixiang Chen,\u2020<\/sup>Min-Hsuan Lee,\u2020<\/sup> Yiwen Wang, Ying Suet Lau, Ali Asgher Syed, and Furong Zhu, Interface Dipole for Remarkable Efficiency Enhancement in All solution processable Transparent Inverted Quantum Dot Light emitting Diodes. J. Mater. Chem. C, 2018,6, 2596-2603. \u5171\u540c\u7b2c\u4e00\u4f5c\u8005<\/td><\/tr>
Weidong Zhang, Weixia Lan, Min-Hsuan Lee, Jai Singh, Furong Zhu, A versatile solution-processed MoO3<\/sub>\/Au nanoparticles\/MoO3<\/sub> hole contact for high performing PEDOT:PSS-free organic solar cells. Organic Electronics, 52,1-6 (2018)<\/td><\/tr>
Min-Hsuan Lee, Insights from machine learning techniques for predicting the efficiency of fullerene derivatives-based ternary organic solar cells at ternary blend design, Advanced Energy Materials. Adv. Energy Mater. 2019, 1900891\u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, Machine Learning for Understanding the Relationship between the Charge Transport Mobility and Electronic Energy Levels for n\u2010Type Organic Field\u2010Effect Transistors. Adv. Electron. Mater. 2019, 1900573. \u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, Robust random forest based non-fullerene organic solar cells efficiency prediction, Organic Electronics, 76, 2020,105465 \u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, A Machine Learning\u2013Based Design Rule for Improved Open\u2010Circuit Voltage in Ternary Organic Solar Cells. Adv. Intell. Syst., 2020, 2: 1900108. \u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, Performance and Matching Band Structure Analysis of Tandem Organic Solar Cells Using Machine Learning Approaches. Energy Technol., 2020, 8: 1900974 \u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, Identification of host\u2013guest systems in green TADF-based OLEDs with energy level matching based on a machine-learning study, Phys. Chem. Chem. Phys., 2020,22, 16378-16386\u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Lan, Z., Lee, M.* and Zhu, F.* (2021), Recent Advances in Solution-Processable Organic Photodetectors and Applications in Flexible Electronics. Adv. Intell. Syst. 2100167 (Invited Review) \u901a\u8a0a\u4f5c\u8005<\/td><\/tr>
Min-Hsuan Lee, 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, 234, 2022, 360-367\u7b2c\u4e00\u4f5c\u8005\/\u901a\u8a0a\u4f5c\u8005<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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