个人资料
教育经历1997、2001和2004年分别毕业于复旦大学应用化学专业 （本科）、中国科学院声学研究所信息与信号处理专业（硕士）、新加坡南洋理工大学微电子专业（博士） 工作经历2006至今 华东师范大学物理系/物理与材料科学学院/物理与电子科学学院/2026世界杯官网 个人简介潘丽坤，华东师范大学2026世界杯官网、上海市磁共振重点实验室、医学磁共振与分子影像技术研究院教授、博导。科睿唯安全球高被引科学家，爱思唯尔中国高被引学者，全球前2%顶尖科学家（斯坦福大学）。目前研究方向为人工智能机器学习、新能源材料及应用。作为项目负责人主持了国家自然科学基金面上项目、上海市基础研究重点项目、上海市产业技术创新专项重大项目、上海市纳米专项、上海市国内科技合作项目、上海市自然基金和上海市应用材料研究与发展基金等多个项目。已在国际期刊上发表SCI论文400余篇，其中第一/通讯作者SCI论文300余篇，被引用40000多次，H指数115（谷歌学术）。主编3本英文著作。授权了中国发明专利30余项。 社会兼职Korean Journal of Chemical Engineering副主编，Journal of Colloid and Interface Science、Nanomaterials、Current Nanoscience等期刊编委、中国工程院咨询研究专家、国家重点研发计划专项评审专家、国家自然科学基金委项目评审专家、教育部学位中心评议专家 研究方向1、AI for Science人工智能在新能源材料和器件中的应用
2、新能源材料及应用
课题组机器学习AI for Science代表性文章 - Y. Lou, H. Y. Zhao, J. F. Li, W. X. Xu, C. C. Weng*, J. L. Li*, L. K. Pan*, Energy Storage Materials 89, 105252 (2026), Toward Data-Driven Lithium Metal Batteries: Machine Learning for Materials Design, Mechanistic Insight, and Autonomous Optimization - A. Wang, Z. H. Wang*, L. K. Pan*, Separation and Purification Technology 400, 138440 (2026), Machine Learning-Driven Development of Semiconductor Photothermal Materials for Interfacial Solar Evaporation - G. Chen, Z. H. Yang, P. Sun, J. F. Li, C. L. Wang*, J. L. Li*, G. Yang, L. K. Pan*, Journal of Energy Chemistry 117, 70-80 (2026), Data-augmented machine learning for predicting biomass-derived hard carbon anode performance in sodium-ion batteries - K. Han, J. X. Yang, C. L. Wang*, J. F. Li, Z. J. Zhu, W. J. Mai*, J. L. Li*, G. Yang, L. K. Pan*, Nano Energy 149, 111735 (2026), MEMFNet: Toward a knowledge-guided paradigm for interpretable electrochemical performance prediction - Y. C. Shan, L. M. Xu, P. Sun, Z. J. Zhu, C. L. Wang*, J. L. Li*, G. Yang, L. K. Pan*, Acta Physico-Chimica Sinica 42, 100232 (2026), A data-driven approach for rapid revealing of metal doping in MnO2 cathodes for high-performance aqueous zinc-ion batteries - K. Han, J. F. Li, Z. S. Zhang, C. L. Wang*, J. B. Li*, Y. Zhu, Z. J. Zhu, X. J. Liu, G. Yang, L. K. Pan*, Chemical Engineering Journal 525, 170251 (2025), Rapidly Evaluating Electrochemical Performance of Transition Metal Disulfides for Lithium Ion Batteries Using Machine Learning Classifier - G. S. Xu, Y. Li, J. F. Li, J. L. Li*, X. J. Liu, C. L. Wang*, W. J. Mai, G. Yang, L. K. Pan*, Angewandte Chemie International Edition 64, e202511389 (2025), Toward Stable Zinc Anode: An AI-Assisted High-Throughput Screening of Electrolyte Additives for Aqueous Zinc-ion Battery - Y. Y. Chen, Z. L. Yang, J. X. Wang, K. Han, Z. J. Zhu, C. L. Wang*, M. Xu*, G. Yang, L. K. Pan*, Nanoscale 17, 22890-22897 (2025), A Data-Driven Machine Learning Approach for Predictive Modeling of Transition Metal Dichalcogenide/Carbon Composite Supercapacitor Electrodes H. Wang Y. Zhu, K. Han, C. L. Wang*, J. F. Li, Y. Q. Li Y. Liu*, G. Yang, L. K. Pan*, Journal of Materials Chemistry A 13, 32427-32437 (2025), A Data-driven Machine Learning Approach for Interpretable Predicting Desalination Stability of Carbon Materials for Capacitive Deionization - H. Wang, C. L. Wang*, J. F. Li, Y. Q. Li, Y. Liu*, Z. Q. Chen, X. J. Liu, G. Yang, L. K. Pan*, Separation and Purification Technology 376, 134181 (2025), A Data-driven Machine Learning Approach to Predict Desalination Capacities of Faradic Materials for Capacitive Deionization - Y. Y. Chen, H. Wang, C. L. Wang*, J. Q. Yang, X. J. Liu, Y. C. Ma, Y. F. Yao, G. Yang, M. Xu*, L. K. Pan*, Journal of Colloid and Interface Science 699, 138139 (2025), Machine Learning-Guided Prediction of Energy Storage Performance of Carbon Cathode Materials for Zinc-Ion Hybrid Capacitors - F. Y. Meng, H. Wang, X. Y. Xuan, Y. Liu*, Y. Q. Li, X. T. Xu*, L. K. Pan*, Materials Horizons 12, 8181-8193 (2025), Chloride ion-capturing La0.7Sr0.3BO3 (B=Fe, Co) perovskite oxide achieving superior performance electrochemical desalination - G. Bai, Z. H. Wang, H. Wang, C. L. Wang*, X. J. Liu, H. B. Li, G. Yang, M. Xu*, L. K. Pan*, Separation and Purification Technology 373, 133627 (2025), Machine Learning-Guided Exploration of Carbon-Based Photothermal Materials for Solar Evaporation - H. Wang, Y. Zhu, J. L. Li*, X. J. Liu, Y. C. Ma, Y. F. Yao, J. Zhang*, L. K. Pan*, Journal of Materials Chemistry A 13, 17197-17213 (2025), Machine Learning-Accelerated Exploration on Element Doping-Triggering Material Performance Improvement for Energy Conversion and Storage Applications - H. Wang, Y. Q. Li, X. Y. Xuan*, K. Wang*, Y. F. Yao, L. K. Pan*, Environmental Science & Technology 59, 6361-6378 (2025), Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications - H. Wang, Y. Q. Li, Y. Liu*, X. T. Xu, T. Lu*, L. K. Pan*, Separation and Purification Technology 354, 129423 (2025), Advancement of capacitive deionization propelled by machine learning approach - G. S. Xu, M. X. Jiang, J. L. Li*, X. Y. Xuan*, J. B. Li, T. Lu, L. K. Pan*, Energy Storage Materials 72, 103710 (2024), Machine learning-accelerated discovery and design of electrode materials and electrolytes for lithium ion batteries - H. Wang, M. X. Jiang, G. S. Xu, C. L. Wang*, X. T. Xu, Y. Liu*, Y. Q. Li, T. Lu, G. Yang, L. K. Pan*, Small 20, 2401214 (2024), Machine learning-guided prediction of desalination capacity and rate of porous carbons for capacitive deionization - G. S. Xu, Y. J. Zhang, M. X. Jiang, J. L. Li*, H. C. Sun, J. B. Li, T. Lu, C. L. Wang*, G. Yang, L. K. Pan*, Chemical Engineering Journal 476, 146676 (2023), A Machine Learning-Assisted Study on Organic Solvents in Electrolytes for Expanding the Electrochemical Stable Window of Zinc-Ion Batteries - M. X. Jiang, Y. J. Zhang, Z. H. Yang, H. B. Li, J. L. Li, J. B. Li, T. Lu, C. L. Wang*, G. Yang*, L. K. Pan*, Inorganic Chemistry Frontiers 10, 6646 (2023), A Data-driven Interpretable Method to Predict Capacities of Metal ion Doped TiO2 Anode Materials for Lithium-ion Batteries Using Machine Learning Classifiers
具体研究方向参见：https://www.x-mol.com/groups/likunpan/research 详细信息参见课题组网页
二维码 。 招生与培养欢迎有兴趣的考生（专业背景为物理类、材料类、化学类、环境类、电子类、计算机类）联系报考博士/硕士，招生专业：无线电物理（招收学术学位硕士和博士，博士为申请考核制；硕士考试科目：方向为无线电物理与磁共振：政治、英语、量子力学、普通物理）、先进仪器技术与应用（招收专业学位硕士）。详细报考信息请查询华东师范大学研究生招生信息网 https://yjszs.ecnu.edu.cn/。 学生培养： 1、指导本科学生获得挑战杯全国大学生课外学术科技作品竞赛全国特等奖和全国累进创新金奖、挑战杯全国大学生创业计划大赛全国金奖、国家大学生创新性实验计划项目、上海大学生创新活动计划项目、陈嘉庚发明奖二等奖、科创杯三等奖、上汽教育杯三等奖等。 2、培养研究生获得国家奖学金（22人次）、校长奖学金、宝钢特等奖学金、宝钢优秀奖学金、比亚迪奖学金、研究生优秀学业奖学金、智慧奖学金、教育部博士研究生学术新人奖、优秀博士学位论文培育项目、优秀博士生学术创新能力提升计划项目、上海市优秀学位论文等奖励。
课题组成员 工程师：陆婷 研究生：
本科生：
开授课程本科生课程：无机化学；大学物理；材料创新研究；现代水处理技术；电化学能源存储材料； 研究生课程：功能材料与表征；纳米电子材料与器件；科技论文写作和文献检索；人工智能材料应用 科研项目作为负责人主持了国家自然科学基金面上项目、上海市基础研究重点项目、上海市自然科学基金、上海市纳米专项、上海市应用材料研究与发展基金、上海市国内科技合作项目和上海市浦江人才计划等多个项目。 学术成果已在国际期刊上发表SCI论文400余篇，被引用40000多次, H指数115（谷歌学术）。主编3本英文著作。授权了中国发明专利30多项。 书/章节 - Xingtao Xu, Likun Pan (ed.), 2023. Capacitive Deionization, Royal Society of Chemistry. -Likun Pan, Guang Zhu (ed.), 2016. Perovskite Materials - Synthesis, Characterisation, Properties, and Applications, IntechOpen. -Likun Pan, Xinjuan Liu, Guang Zhu (ed.), 2020. Functional Nanomaterial for Photoenergy Conversion, World Scientific. -Xinjuan Liu, Likun Pan, Chang Q. Sun, Chapter 10 Microwave-assisted synthesis of semiconductor nanomaterials for energy conversion, In Erwann Guenin (ed.), 2017. Microwave Engineering of Materials: From Mesoscale to Nanoscale, Pan Stanford Publishing Pte. Ltd. -Xingtao Xu, Junfeng Li, Yuquan Li, Bing Ni, Xinjuan Liu, Likun Pan, Chapter 4 Selection of carbon electrode materials, In Silvia Ahualli, Ángel V. Delgado (ed.), 2018. Charge and Energy Storage in Electrical Double Layers , Academic Press (Elsevier) 代表性论文 (全部论文请见ResearchGate或课题组网页) - Y. Lou, H. Y. Zhao, J. F. Li, W. X. Xu, C. C. Weng*, J. L. Li*, L. K. Pan*, Energy Storage Materials 89, 105252 (2026), Toward Data-Driven Lithium Metal Batteries: Machine Learning for Materials Design, Mechanistic Insight, and Autonomous Optimization - C. C. Weng, Y. Lou, M. J. Qiu, B. F. Wang, K. Han, W. J. Mai, H. Y. Yang*, S. M. Huang, L. K. Pan*, J. L. Li*, Energy Storage Materials 89, 105218 (2026), Neutral-cluster-mediated suppression of solvent migration in high-voltage ether-based electrolytes - Z. J. Xu, J. X. Wang, P. Sun, J. F. Li, Y. Y. Chen, W. J. Mai, M. Xu*, J. L. Li*, L. K. Pan*, ACS Nano DOI: 10.1021/acsnano.6c02699, Polyhalide Ionic Liquid Phase-Separation Strategy Enables High-Performance Four-Electron Transfer Zinc-Iodine Batteries - S. H. Zhu, J. H. Wang, J. F. Li, Y. Q. Li, Z. G. Wen, H. C. Sun*, Y. Liu*, Z. Q. Chen, L. K. Pan*, Environmental Science & Technology 60, 5147-5158 (2026), Induced-Charge Assisted Faradaic Capacitive Deionization: A New Paradigm to Break the Capacity-Rate Trade-off - K. Han, J. X. Yang, C. L. Wang*, J. F. Li, Z. J. Zhu, W. J. Mai*, J. L. Li*, G. Yang, L. K. Pan*, Nano Energy 149, 111735 (2026), MEMFNet: Toward a knowledge-guided paradigm for interpretable electrochemical performance prediction - H. Wang, Y. Zhu, J. F. Li, Y. Q. Li, Y. Liu*, X. T. Xu*, Z. Q. Chen, X. J. Liu, L. K. Pan*, Coordination Chemistry Reviews 546, 217084 (2026), Advanced Organic Framework Structures Tailored for High-Efficiency Capacitive Deionization: From Molecular Design to Performance Enhancement - Y. Q. Li, Z. H. Bian, C. L. Wang, Q. Y. Hong, H. Wang, H. Y. Han, T. Liu, J. Y. Hu*, L. K. Pan*, X. Z. Wang*, Environmental Science & Technology 59, 24113-24123 (2025), Anion-selective redox COF with anti-dissolution and anti-fouling electrochemical performance for membrane-free desalination battery - G. S. Xu, Y. Li, J. F. Li, J. L. Li*, X. J. Liu, C. L. Wang*, W. J. Mai, G. Yang, L. K. Pan*, Angewandte Chemie International Edition 64, e202511389 (2025), Toward Stable Zinc Anode: An AI-Assisted High-Throughput Screening of Electrolyte Additives for Aqueous Zinc-ion Battery - Y. Li, H. Xu*, X. D. Li, X. Lin, H. Y. Zhao, Y. J. Zhang, K. N. Hui, J. L. Li*, L. K. Pan*, Advanced Science 12, e07071 (2025), Molecular Damping Effect of Trace Additives Enhances Zinc Anode Stability under High Depth of Discharge - L. M. Xu, J. X. Wang, Y. Q. Li, Y. Liu*, X. T. Xu*, Z. Q. Chen, X. J. Liu, L. K. Pan*, Angewandte Chemie International Edition 64, e202508092 (2025), Heterointerfacial Charge Modulation of p-Type Covalent Organic Frameworks on Graphene Achieving High-Performance Cl- Ion Storage with Ultralong Cycling Life - Z. J. Xu, J. Q. Yang, P. Sun, Y. Y. Chen, Z. X. Ji, X. S. Wang, M. Xu*, J. L. Li*, L. K. Pan*, Chemical Science 16, 13211-13220 (2025), Iodide-mediated intermediate regulation strategy enables high-capacity and ultra-stable zinc-iodine batteries - C. C. Weng, M. J. Qiu, B. F. Wang, J. Q. Yang, W. J. Mai, L. K. Pan*, S. M. Huang*, J. L. Li*, Angewandte Chemie International Edition 64, e202419539 (2025), Organic Cathode ElectrolyteInterphase Achieving 4.8 V LiCoO2 - H. Wang, Y. Zhu, Y. Liu*, Y. Q. Li, X. T. Xu*, X. J. Liu, H. Y. Zhao, L. K. Pan*, Nano Energy 142, 111175 (2025), Challenges and design strategies of metal sulfides for superior-performance capacitive deionization - C. C. Weng, M. J. Qiu, B. F. Wang, J. Q. Yang, W. J. Mai, L. K. Pan*, S. M. Huang*, J. L. Li*, Advanced Functional Materials 35, 2503438 (2025), Salt Anion’s Donor Number Strategy Achieving Stable NCM622 Cathode at 4.7 V - H. Wang, Y. Q. Li, X. Y. Xuan*, K. Wang*, Y. F. Yao, L. K. Pan*, Environmental Science & Technology 59, 6361-6378 (2025), Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications - J. Q. Yang, C. C. Weng, P. Sun, Y. Yin*, M. Xu*, L. K. Pan*, J. L. Li*, Coordination Chemistry Reviews 530, 216475 (2025), Comprehensive Regulation Strategies for Gel Electrolytes in Aqueous Zinc-Ion Batteries - G. S. Xu, M. X. Jiang, J. L. Li*, X. Y. Xuan*, J. B. Li, T. Lu, L. K. Pan*, Energy Storage Materials 72, 103710 (2024), Machine learning-accelerated discovery and design of electrode materials and electrolytes for lithium ion batteries - Y. Li, H. Xu*, H. Y. Zhao, J. B. Li, T. Lu, M. Xu*, L. K. Pan*, Coordination Chemistry Reviews 518, 216097 (2024), Multiple Perspectives of Advanced Design Strategies and Mechanism Insights on Enhancing the Performance of Zinc-Ion Supercapacitors - C. C. Weng, L. Ma, B. F. Wang, F. Y. Meng, J. Q. Yang, Y. Y. Ji, B. T. Liu, W. J. Mai, S. M. Huang*, L. K. Pan*, J. L. Li*, Energy Storage Materials 71, 103584 (2024), Single-solvent ionic liquid strategy achieving wide-temperature and ultra-high cut-off voltage for lithium metal batteries - H. Wang, X. T. Xu*, X. Y. Gao, Y. Q. Li, T. Lu, L. K. Pan*, Coordination Chemistry Reviews 510, 215835 (2024), Design of three-dimensional faradic electrode materials for high-performance capacitive deionization - J. Q. Yang, M. J. Qiu, M. N. Zhu, C. C. Weng, Y. Li, P. Sun, W. J. Mai, M. Xu*, L. K. Pan*, J. L. Li*, Energy Storage Materials 67, 103287 (2024), Biomacromolecule guiding construction of effective interface layer for ultra-stable zinc anode 荣誉及奖励科睿唯安全球高被引科学家 爱思唯尔中国高被引学者 全球前2%顶尖科学家（斯坦福大学） 全球前0.05%顶尖科学家（ScholarGPS） 全球顶尖前10万科学家（全球学者库） 全球顶尖材料科学家（Research.com）
|
|
潘丽坤 |
