杨春鹏
- 教师拼音名称：Chunpeng Yang
- 性别：男
- 职称：教授
- 所属院系：化工学院
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· Wang, F.; Yang, C*, Designing molecular catalysts for zinc-iodine batteries. Chem Catalysis 2026
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· Ding, N.; Chen, M.; Yang, C.*; Yang, Q*; Catalysis in Aqueous Zinc–Iodine Batteries: Materials and Mechanisms. ENGINEERING Trans. Mater. 2026, 0015.
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· Li, D.; Zhang, G.; Xu, B.; Luo, F.; Zhu, K.; Liang, G.; Yan, T.; Hou, W.; Zhang, L.; Wu, Q., Yang, C.*, Interfacial percolation enables high-conductivity lean-lithium oxychloride electrolytes for all-solid-state batteries. Natl. Sci. Rev. 2026, 13, nwag411.
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· Li, D.; Lin, Z.; Luo, F.; Xiao, C.; Dai, Z.; Ye, Z.; Wang, Q.*; Guo, Y.-G.*; Yang, C.*, Data-driven chemical feature extraction and material design for halide solid-state electrolytes. eScience. 2026, 100590.
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· Luo, Z.; Ge, H.; Guo, K.; Yan, Z.; Wang, L.; Zhou, Z.; Zhang, X.*; Yang, C.*; Yang, Q*; Matching d-p Energy Levels Between High-Entropy Alloy Catalysts and Chalcogen Cathodes for All-Solid-State Batterie. Adv. Energy Mater. 2026, e71232.
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· Liu, S.; Li, D.; Du, A.; Zhou, H.; Yang, C.*, A Dense Fluorinated Composite Polymer Electrolyte Featuring Fluoride-Rich Interface for Long-Life Lithium Batteries. Adv. Energy Mater. 2026, e70930.
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· Luo, F.; Li, D.; Lin, Z.; Wang, Q. *; Yang, C.*, Autosee: An Artificial Intelligence Agent for Automated Solid Electrolyte Exploration. ACS Energy Lett., 2026, 11 (4): 3369-3376.
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· Chen, M.; He, Y.; Li, H.; Wu, Z.; Chen, J.; Du, A.; Wang, L.; Lu, J.; Wang, W. *; Yang, C.*; Yang, Q.-H. *, 4f-5d Orbital Tag-Team Catalysis Empowers High-Loading Zinc–Iodine Batteries. Nat. Commun., 2026.
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· Chen, M.; Li, H.; Xu, H.; Wu, Z.; Chen, J.; Lin, H.; Du, A.; Umer, S.; Chen, Z.; Yue, N.; Yan, Z.; Yin, T.; Yang, N.; Lu, J.; Wang, W.; Yang, C.; Yang, Q.-H., Redirecting Iodine Reduction Pathways by Decoupling Adsorption Energies for Long-Life Zn–I2 Batteries. Energy Environ. Sci., 2026, 19, 896-905
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· Wang, X.; Li, J.; Yang, C.*, Uncovering the Multifunctional Roles of Metal-Organic Frameworks in Protecting Lithium Metal Anodes Assisted by Large Language Models. Isr. J. Chem. 2025, 65, e70002.
