AI-Enabled Green Electronics Lab

 1. Min-Hsuan Lee, Wing Hong Choi, and Furong Zhu, Solution processable organic-inorganic hybrid hole injection layer for high efficiency phosphorescent organic light-emitting diodes. Opt Express, 24(6), A592-603 (2016), Impact Factor:3.307, citation:11 2. Min-Hsuan Lee, Lixiang Chen, Ning Lia and Furong Zhu, MoO3-induced oxidation doping of PEDOT:PSS for high performance fullsolution-processed inverted quantum-dot light emitting diodes. J. Mater. Chem. C, 5, 10555- 10561(2017) (Advances In Engineering (AIE) has selected this paper as a key scientific article and reported it), Impact factor: 6.641, citation:28 3. Lixiang Chen,†Min-Hsuan Lee,† 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 (paper has been selected as a cover article of JMCC.), Impact factor:6.641 4. Weidong Zhang, Weixia Lan, Min-Hsuan Lee, Jai Singh, Furong Zhu, A versatile solution-processed MoO3/Au nanoparticles/MoO3 hole contact for high performing PEDOT:PSS-free organic solar cells. Organic Electronics, 52, 1-6 (2018) Impact factor: 3.39 5. Min-Hsuan Lee, Insights from machine learning techniques for predicting the efficiency of fullerene derivatives-based ternary organic solar cells at ternary blend design, Adv. Energy Mater. 2019, 1900891. Impact factor: 24.884 6. Min-Hsuan Lee, Machine Learning for Understanding the Relationship between the Charge Transport Mobility and Electronic Energy Levels for n‐ Type Organic Field‐Effect Transistors. Adv. Electron. Mater. 2019, 1900573. Impact factor: 6.312 7. Min-Hsuan Lee, Robust random forest based non-fullerene organic solar cells efficiency prediction, Organic Electronics, 76, 2020,105465, Impact factor: 3.495 8. Min-Hsuan Lee, A Machine Learning–Based Design Rule for Improved Open‐ Circuit Voltage in Ternary Organic Solar Cells. Adv. Intell. Syst., 2020, 2: 1900108. Impact factor: 6.8 9. Min-Hsuan Lee, Performance and Matching Band Structure Analysis of Tandem Organic Solar Cells Using Machine Learning Approaches. Energy Technol.,2020, 8: 1900974 Impact factor: 3.175. 10. Min-Hsuan Lee, Identification of Host-Guest Systems in green TADF based OLEDs with Energy Level Matching Based on Machine-Learning Study, Phys. Chem. Chem. Phys., 2020, 22, 16378-16386, Impact factor: 3.430. 11. Lan, Z., Lee, M*. and Zhu, F. (2021), Recent Advances in Solution- Processable Organic Photodetectors and Applications in Flexible Electronics. Adv. Intell. Syst. 2100167. Impact factor: 6.8, Article Invitation Outstanding Researchers "Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives-Based Ternary Organic Solar Cells at Ternary Blend Design" From 2023 12. *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= 7.1) (通訊作者) 13. *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) (通訊作者) 14. *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) (通訊作者) 15. *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) (通訊作者) 16. *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 (IF=4.1) (通訊作者) 17. *Lee et al. Intrinsic Reactivity Index as Descriptor for Accurately Predicting Short-Circuit Current Density in Ternary Organic Solar Cells (ACS Applied Energy Materials, ACS Applied Energy Materials 2025 8 (1), 36-42 IF=5.5, MATERIALS SCIENCE, MULTIDISCIPLINARY, 116/439) (與天光材料科技股份有限公司共同合作發表，促進AI技術的快速應用和創新) (通訊作者) 18. *Lee et al. Flexible Biodegradable Wearables based on Conductive leaf networks (Sustainable Materials and Technologies, e01263, IF=8.7, GREEN & SUSTAINABLE SCIENC; TECHNOLOGY, 17/91) (通訊作者) 19. *Lee et al. One-stone-for-two-birds strategy for upcycling plastic wastes into high value-added medical consumables via the dip-coating technique (Sustainable Materials and Technologies e01261, IF=8.7, GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY, 17/91) (與英國Cardiff University Prof. Bo Hou共同合作發表，促進國際合作) (通訊作者) 20. Tsai, Cheng-En, Su, Yu-Yang, Lee, Min-Hsuan, Chen, Ping-Yen, Hsu, Chung-Wei, CHANG, YI-MING, Bonding of Shortwave Infrared Organic Photodetectors on Silicon via Conducting Polymer Glue for Image Sensor Applications, ACS Applied Optical Materials 2025 3 (1), 54-63 (與天光材料科技股份有限公司共同合作發表，促進生物光學感測技術的快速應用和創新) 21. Weixia Lan, Qiqi Ding, Xian Wu, Tao Zhou, Yuanshun Wang, Shouwei Gao, ShuLiang Qin, Weidong Zhang, Minhsuan Lee,* Yuanyuan Liu, Highly Sensitive Tubular Strain Sensors: from Nanofiber Arrangements and Conductive Carbon Materials Perspectives, Materials Today Communications, 111569 (IF=3.7) (共同通訊作者) 22. *Lee et al. PEDOT:PSS hybrid ink treated Xuan paper as a dry electrode for ECG sensing (Journal of Environmental Chemical Engineering, Journal of Environmental Chemical Engineering, 13, 2, 2025, 115716, IF=7.4, ENGINEERING, ENVIRONMENTAL 12/81) (通訊作者) 23. *Lee et al. Flexible dry electrocardiography electrodes obtained from waste face masks, PEDOT:PSS, and biosynthetic polymers (Surfaces and Interfaces, Surfaces and Interfaces, 61, 15, 2025, 106108 IF=5.7, MATERIALS SCIENCE, COATINGS & FILMS 4/23, Publish after minor revision) (通訊作者)