Di Huang
8PUBLICATIONS
5CO-AUTHORS
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Publications (8)
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|Jan 22, 2026
Machine-learning-guided high-throughput design of asymmetric A-DA'D-A acceptors toward efficient organic solar cells.Ziye Chen, Kuo Wang, Di Huang
|Dec 04, 2025
Modulating phase composition and crystallization of 2D Ruddlesden-Popper perovskite films <i>via</i> a polyvinylidene fluoride buried interface.Juan Meng, Qiyou Lai, Jingwen Li
|Mar 20, 2025
Quantitative Analysis of Perovskite Morphologies Employing Deep Learning Framework Enables Accurate Solar Cell Performance Prediction.Haixin Zhou, Kuo Wang, Cong Nie
|Nov 20, 2024
Combination of Transfer Learning and Chemprop Interpreter with Support of Deep Learning for the Energy Levels of Organic Photovoltaic Materials Prediction and Regulation.Cong Nie, Kuo Wang, Haixin Zhou
|Jul 14, 2023
Probing the Effect of Photovoltaic Material on V<sub>oc</sub> in Ternary Polymer Solar Cells with Non-Fullerene Acceptors by Machine Learning.Di Huang, Zhennan Li, Kuo Wang
|Sep 16, 2022
Accelerated exploration of efficient ternary solar cells with PTB7:PC<sub>71</sub>BM:SMPV1 using machine-learning methods.Chaorong Guo, Zhennan Li, Kuo Wang
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