个人简历教授,博士生导师。2010年7月获博士学位后到哈尔滨理工大学工作。2011年被破格评为副教授,2014年被评为教授。哈理工、西工大两站博士后。以第一作者或通讯作者在Acta Materialia、Applied Soft Computing等国际高水平期刊发表了系列研究成果,共计40余篇;出版科学出版社专著1部;获得软件著作权6项、发明专利8项。主持“理工英才”计划科学研究项目、国家自然科学基金面上项目、凝固技术国家重点实验开放课题重点项目、黑龙江省博士后科研启动金项目、国家自然科学基金青年项目、中国博士后科学基金特别资助项目以及黑龙江省自然科学基金面上、联合引导项目等10余项。现为国家自然科学基金通讯评审人;担任Acta Mater.,J Mater Sci & Tech等多个期刊的审稿专家。 教育经历(1) 2007-09 至 2010-06, 天津大学, 材料物理与化学, 博士 (2) 2005-09 至 2007-06, 天津大学, 材料物理与化学, 硕士 (3) 2000-09 至 2004-07, 天津大学, 应用物理, 学士 工作经历(1) 2021-03 至 今, 哈尔滨理工大学, 电气与电子工程学院, 教授 (2) 2014-09 至 2021-03, 哈尔滨理工大学, 理学院物理系, 教授 (3) 2011-09 至 2014-08, 哈尔滨理工大学, 理学院物理系, 副教授 (4) 2010-07 至 2011-08, 哈尔滨理工大学, 理学院物理系, 讲师 研究方向l、锂电池寿命预测; 2、金属电池枝晶抑制机理的相场模拟与第一性原理计算; 3、相变理论建模及计算; 4、数据和物理双驱动的高熵合金设计、电子材料设计、电池材料设计; 5、机器学习算法研究; 承担项目1、黑龙江省自然科学基金面上项目,锂金属电池阳极枝晶抑制的机制探索与材料设计,2022.07-2025.07,主持。 2、理工英才计划项目,基于跨尺度计算物理与机器学习算法深度耦合的微电子互连材料抗电迁移性能研究,2019.01-2021.12,主持。 3、国家自然科学基金面上项目,基于热力学极值原理和热/动力学相关性的扩散控制型相变的建模与计算,2017.01-2020.12,主持。 4、国家自然科学基金青年项目,非平衡凝固的弥散界面建模与数值模拟研究,2012.01-2014.12,主持。 5、凝固技术国家重点实验室开放课题重点项目,基于热力学/动力学相关性的非平衡凝固的建模与计算,2016.05-2018.05,主持。 6、中国博士后科学基金特别资助项目,过冷熔体非平界面快速凝固的扩散界面建模与数值模拟,2014.06-2015.06,主持。 7、黑龙江省自然科学基金面上项目,非平衡凝固的动力学建模与数值模拟研究,2014.07-2017.07,主持。 教学工作1、本科生课程:《半导体器件物理》 2、研究生课程:《能源材料计算与模拟方法》《电工材料与电能存储前沿专题》 招生信息每年招收博士生1名(电气工程),硕士生4-6名(电子科学与技术学硕、电气工程专硕); 要求:电子科学与技术、电气工程、材料科学与工程以及物理学等专业,具备扎实的物理、数学基础、较好的英语能力。 2025博士招生:方向为锂电池寿命预测研究,欢迎对机器学习、新能源感兴趣的同学报考。 专利成果发明专利: (1)李述;单云霄;李帅;崔禹欣;李福祥;一种基于模糊自洽式聚类集成的高熵合金硬度预测方法, 2023-9-8,中国,ZL202310204380.X. (2)李述;单云霄;李帅;崔禹欣;李福祥;一种基于三种共识策略的双粒度聚类集成算法的高熵合金硬度预测方法,2023-5-2,中国,ZL202211397847.9 (3)李述;杨佳;杨志远;李帅;刘东戎;一种基于机器学习和两步法数据扩充的高熵合金硬度预测方法及装置,2023-8-22,中国,ZL202211015507.5 (4)李述;单云霄;李帅;崔禹欣;李福祥;一种基于改进密度峰值聚类算法的高熵合金硬度预测方法,2023-4-8,中国,ZL202210221449.5 (5)李述;冯佳玮;石晴文;基于FPGA的二值化卷积神经网络算法的IP核,2022-6-14,中国,ZL202110599962.3 (6)李述;王鹏;梅金硕;邹瑞;一种基于机器学习的多组分晶体构型能预测方法,2024-1-26,中国,ZL202011140008.X (7)李述;张涛;刘东戎;吴佳文;一种基于元胞自动机的BGA锡铅焊球凝固过程模拟方法,2024-2-9,中国,ZL201911212284.X 出版著作专著: (1)李述,单相固溶体合金自由枝晶凝固模型研究,北京:科学出版社,2022。 发表论文[1] Wang, Xin, Shu Li*, and Feng Liu*. Modeling for free dendrite growth based on physically-informed machine learning method, Scripta Materialia, 2024, 242: 115918. [2] Yinghe Wang,Shu Li*, Shuai Li*, Minghua Chen. Prediction, interpretation and extrapolation for shear modulus and bulk modulus of solid-state electrolytes based on machine learning, Materials Today Communications, 2024, 38: 108294. [3] Tingpeng Tao, Shu Li*, Dechuang Chen, Shuai Li*, Dongrong Liu, Xin Liu, Minghua Chen. Structural descriptors evaluation for MoTa mechanical properties prediction with machine learning, Modelling and Simulation in Materials Science and Engineering, 2024, 32: 025004. [4] Yunxiao Shan, Shu Li*, Fuxiang Li*, Yuxin Cui, Shuai Li, Minghua Chen, Xunjun He. Fuzzy self-consistent clustering ensemble, Applied Soft Computing, 2024, 151: 111151. [5] Shan, Yunxiao, Li Shu*, Li Fuxiang*, Cui Yuxin, Chen Minghua. Dual-level clustering ensemble algorithm with three consensus strategies, Scientific Reports, 2023, 13: 22617. [6] Dechuang Chen, Shu Li*, Tingpeng Tao, Shuai Li*, Dongrong Liu, Xin Liu, Minghua Chen. A machine learning framework for predicting physical properties in configuration space of gate alloys, Materials Today Communications, 2023, 37: 107526. [7] Shuai Li, Shu Li*, Dongrong Liu*, Jia Yang, Mingyu Zhang. Hardness prediction of high entropy alloys with periodic table representation of composition, processing, structure and physical parameters, Journal of Alloys and Compounds, 2023, 967: 171735. [8] Zhiyuan Yang, Shu Li*, Shuai Li*, Jia Yang, Dongrong Liu. A two-step data augmentation method based on generative adversarial network for hardness prediction of high entropy alloy, Computational Materials Science, 2023, 220: 112064. [9] Yuxin Cui, Shu Li*, Yunxiao Shan, Fengqiu Liu*, Finite-time set reachability of probabilistic Boolean multiplex control networks, Applied Sciences, 2022, 12: 883. [10] Yunxiao Shan, Shu Li*, Fuxiang Li*, Yuxin Cui, Shuai Li, Ming Zhou, Xiang Li, A density peaks clustering algorithm with sparse search and K-d tree, IEEE Access, 2022, 10: 74883-74901. [11] Shuai Li, Shu Li*, Dongrong Liu*, Rui Zou, Zhiyuan Yang, Hardness prediction of high entropy alloys with machine learning and material descriptors selection by improved genetic algorithm, Computational Materials Science, 2022, 205: 111185. [12] Fuxiang Li*, Ming Zhou, Shu Li*, Tianhao Yang, A new density peak clustering algorithm based on cluster fusion strategy, IEEE Access, 2022, 10: 98034-98047. [13] Shu Li, Yu-bing Zhang, Kang Wang, Feng Liu*, Interface kinetics modeling of binary alloy solidification by considering correlation between thermodynamics and kinetics, Transactions of Nonferrous Metals Society of China, 2021, 31: 306−316. [14] Shucheng Liu , Lihua Liu* , Shu Li*, Jinzhong Wang,Free dendritic growth model for binary alloy based on microscopic solvability theory and nonisothermal nature caused by anisotropy and curved interface, Journal of Crystal Growth, 2020, 534: 125417. [15] Shucheng Liu, Shu Li*, Feng Liu*, Analysis of free dendritic growth considering both relaxation effect and effect of nonisothermal and nonisosolutal interface, International Journal of Heat and Mass Transfer, 2019, 134: 51–57. [16] Shu Li*, Dayong Li, Shucheng Liu, Zhihui Gu, Wei Liu, Jianwei Huang, An extended free dendritic growth model incorporating the nonisothermal and nonisosolutal nature of solid-liquid interface, Acta Materialia, 2015, 83:310-317. [17] Shu Li*, Zhihui Gu, Dayong Li, Shucheng Liu, Minghua Chen and Yu Feng, Analysis for free dendritic growth model incorporating the nonisothermal nature of solid-liquid interface, Physics Letters A, 2015, 379: 237-240. [18] Shu Li, Sergey Sobolev*, Local nonequilibrium solute trapping model for non-planar interface, Journal of Crystal Growth, 2013, 380: 68-71. [19] Shu Li, Zhang Jiong, Wu Ping*, Analysis for free dendritic growth model applicable to non-dilute alloy.Metallurgical and Materials Transactions A, 2012, 43: 3748-3754. [20] Shu Li, Jiong Zhang, Ping Wu*, A comparative study on migration of a planar interface during solidification of non-dilute alloys, Journal of Crystal Growth, 2010, 312: 982-988. [21] Shu Li, Zhang Jiong, Wu Ping*, Numerical solution and comparison to experiment of solute drag models for binary alloy solidification with a planar phase interface.Scripta Materialia, 2010, 62: 716-719. [22] Shu Li, Zhang Jiong, Wu Ping*, Numerical test of generalized marginal stability theory for a planar interface during directional solidification.Scripta Materialia, 2009, 61: 485-488. [23] Shu Li, Ping Wu, Hiroki Fukuda, Teiichi Ando*, Simulation of the solidification of gas-atomized Sn-5 mass%Pb droplets, Materials Science and Engineering A, 2009, 499: 396-403. [24] Shu Li, Wu Ping, Zhou Wei, Ando Teiichi*, Kinetics of heterogeneous nucleation of gas-atomized Sn-5mass%Pb droplets.MaterialsScience and EngineeringA, 2008, 473: 206-212. *为通讯作者 荣誉称号 |
