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He Yan

  1. Non-fullerene acceptors with branched side chains and improved molecular packing to exceed 18% efficiency in organic solar cells
    2021/05/10 by Chao Li, Jiadong Zhou, Jiali Song +15 · 9 citations
    Engineering · Materials Science · #Conducting polymers and applications #Molecular Junctions and Nanostructures #Organic Electronics and Photovoltaics
  2. Nonfullerene Acceptor Molecules for Bulk Heterojunction Organic Solar Cells
    2018/03/20 by Guangye Zhang, Jingbo Zhao, Philip C. Y. Chow +6 · 28 citations
    Engineering · Materials Science · #Organic Electronics and Photovoltaics #Conducting polymers and applications #Perovskite Materials and Applications
  3. Design of Donor Polymers with Strong Temperature-Dependent Aggregation Property for Efficient Organic Photovoltaics
    2017/09/15 by Huawei Hu, Philip C. Y. Chow, Guangye Zhang +4 · 18 citations
    Engineering · Materials Science · #Organic Electronics and Photovoltaics #Conducting polymers and applications #Perovskite Materials and Applications
  4. ClothFormer:Taming Video Virtual Try-on in All Module
    2022/04/26 by Jianbin Jiang, Jiang, Jianbin, Tan Wang +5 · 8 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
  5. Simple Harish-Chandra modules over the super affine-Virasoro algebras
    2021/12/14 by He Yan, He, Yan, Dong Liu +3 · 1 citation
    Mathematics · Physics and Astronomy · #Advanced Topics in Algebra #Algebraic structures and combinatorial models #FOS: Mathematics #Nonlinear Waves and Solitons #Representation Theory (math.RT)
  6. Inherent limitations of LLMs regarding spatial information
    2023/12/05 by He Yan, Xinyao Hu, Yan, He +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems