潘丽坤

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）

2006至今 必赢766net手机版物理系/物理与材料科学学院/必赢766net手机版/物理学院

潘丽坤，必赢766net手机版物理学院、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。

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

1、AI for Science人工智能在新能源材料和器件中的应用

• 机器学习
  

• 深度学习

2、新能源材料及应用

• 电容去离子

• 锂离子电池

• 水系锌离子电池
  

• 超级电容

• 电催化制氢/二氧化碳还原

• 太阳能光热脱盐

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

。

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

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。

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

科睿唯安全球高被引科学家

爱思唯尔中国高被引学者