Min‐Hsuan Lee

Insights from Machine Learning Techniques for Predicting the Efficiency of Fullerene Derivatives‐Based Ternary Organic Solar Cells at Ternary Blend Design

Min‐Hsuan Lee · Advanced Energy Materials · 2019 · 107 citations

Engineering, Ternary Blend Design, Energy Conversion +19

Recent Advances in Solution‐Processable Organic Photodetectors and Applications in Flexible Electronics

Zhaojue Lan, Min‐Hsuan Lee, Furong Zhu · Advanced Intelligent Systems · 2021 · 107 citations · Full text

Engineering, Organic Electronics, Organic Photodetectors +24

Robust random forest based non-fullerene organic solar cells efficiency prediction

Min‐Hsuan Lee · Organic Electronics · 2019 · 72 citations

Electrical Engineering, Chemical Engineering, Engineering +8

MoO₃-induced oxidation doping of PEDOT:PSS for high performance full-solution-processed inverted quantum-dot light emitting diodes

Min‐Hsuan Lee, Lixiang Chen, Ning Li et al. · Journal of Materials Chemistry C · 2017 · 60 citations

Engineering, Optoelectronic Devices, Solution-processed Transparent Qd-leds +16

Identifying correlation between the open-circuit voltage and the frontier orbital energies of non-fullerene organic solar cells based on interpretable machine-learning approaches

Min‐Hsuan Lee · Solar Energy · 2022 · 47 citations

Organic Charge-transfer Compound, Electrical Engineering, Open-circuit Voltage +13