基本信息
王宗国 女 硕导 中国科学院计算机网络信息中心
电子邮件: wangzg@cnic.cn
通信地址: 北京市海淀区东升南路2号院中国科学院信息化大厦
邮政编码:100083
研究领域
人工智能技术应用;领域人工智能算法;材料信息学;人工智能软件
招生信息
招生专业
081203-计算机应用技术
招生方向
人工智能技术应用;领域专用AI算法研究人工智能软件材料信息学
教育背景
2011-09--2014-07 中国科学院理论物理研究所 博士研究生
学历
工作经历
工作简历
2019-12~现在, 中国科学院计算机网络信息中心, 副研究员2014-07~2019-12,中国科学院计算机网络信息中心, 助理研究员
专利与奖励
专利成果
[1] 王宗国, 奉天羽, 王彦棡, 熊菲, 陈子逸. 一种基于图神经网络的材料性质预测方法、系统及设备. 202310580976X, 2023-05-22.[2] 王宗国, 郭佳龙, 王彦棡, 刘志威, 陈子逸, 王珏, 曹荣强, 李杨. 一种网络模型训练方法、客户端及服务器. CN114202062A, 2022-03-18.[3] 王宗国, 王彦棡, 刘志威, 郭佳龙, 王珏, 李杨. 一种材料的晶体结构搜索方法及装置. CN113723014A, 2021-11-30.[4] 王宗国, 李献伟, 王彦棡, 常贵君, 王珏, 李杨. 一种管道数字化管理的方法及系统. CN: CN113506025A, 2021-10-15.[5] 王宗国, 郭佳龙, 王彦棡, 刘志威, 王珏, 李杨. 一种基于数据驱动的材料性质预测方法及系统. CN113505527A, 2021-10-15.[6] 王宗国, 贺新福, 王珏, 曹晗, 王彦棡, 刘志威, 郭佳龙, 李杨. 一种预测RAFM钢辐照硬化行为的方法及装置. CN: CN112906991A, 2021-06-04.[7] 赵旭山, 王宗国, 王珏, 王彦棡, 万萌, 宋健龙, 李凯, 李杨. 一种数据驱动的人工智能材料预测系统. CN: CN111831808A, 2020-10-27.[8] 杨小渝, 任杰, 孙雪娇, 刘海东, 张明明, 赵旭山, 王宗国, 宋健龙. 一种图形化及网络化的高通量第一性原理计算工作流系统. CN: CN107357971A, 2017-11-17.[9] 杨小渝, 任杰, 王宗国, 赵旭山, 张明明, 刘海东, 宋健龙. 一种高通量材料计算数据自动采集和加工方法及系统. CN: CN107273670A, 2017-10-20.[10] 王宗国, 奉天羽, 王彦棡, 熊菲, 陈子逸. 一种基于图神经网络的材料性质预测方法、系统及设备. CN: CN116665809A, 2023-08-29.[11] 赵路, 聂宁明, 任永坚, 王宗国, 王珏, 王彦棡, 张纪林, 曾艳. 一种针对物理神经网络的改进网络的调优方法和装置. CN: CN116562333A, 2023-08-08.
出版信息
发表论文
[1] 高添, 朱教君, 张金鑫, 孙一荣, 于丰源, 滕德雄, 卢德亮, 于立忠, 王宗国. 基于新一代信息技术的温带森林生态系统碳通量精准计量. 数据与计算发展前沿[J]. 2023, 5(2): 60-72, http://lib.cqvip.com/Qikan/Article/Detail?id=7109434377.[2] 梁英宗, 陈明威, 王亚南, 贾华显, 芦腾龙, 谢帆恺, 蔡光辉, 王宗国, 孟胜, 刘淼. 一种预测无机晶体形成能的高精度泛化模型. 中国科学:材料科学(英文版). 2023, 66(1): 343-351, http://lib.cqvip.com/Qikan/Article/Detail?id=7108924495.[3] Li, Donglai, Sun, Chen, Wang, Chengzhi, Li, Jingbo, Wang, Zongguo, Jin, Haibo. Regulating Na/NASCION electrolyte interface chemistry for stable solid-state Na metal batteries at room temperature. ENERGY STORAGE MATERIALS[J]. 2023, 54: 403-409, http://dx.doi.org/10.1016/j.ensm.2022.10.056.[4] 朱教君, 高添, 张金鑫, 孙一荣, 孙涛, 刘志华, 于立忠, 卢德亮, 于丰源, 滕德雄, 闫巧玲, 杨凯, 宋立宁, 郑晓, 王绪高, 王庆伟, 梁宇, 李辉东, 刘利芳, 徐爽, 刘华琪, 胡艳阳, 李秀芬, 王宗国, 周新华. 以“塔群”为核心的“立体-全息”森林生态系统信息化观测研究方法体系. 生态学杂志[J]. 2023, 42(12): 3050-3054, http://lib.cqvip.com/Qikan/Article/Detail?id=7111214598.[5] 李顺德, 王宗国, 卜令昆, 王珏. ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems. The International Conference for High Performance Computing, Networking, Storage, and Analysisnull. 2023, [6] Kang, Yuchong, Yang, Kun, Fu, Jing, Wang, Zongguo, Li, Xuao, Lu, Zhiqiang, Zhang, Jia, Li, Haibo, Zhang, Jin, Ma, Wei. Selective Interfacial Excited-State Carrier Dynamics and Efficient Charge Separation in Borophene-Based Heterostructures. ADVANCED MATERIALS. 2023, http://dx.doi.org/10.1002/adma.202307591.[7] Chen, ZiYi, Xie, FanKai, Wan, Meng, Yuan, Yang, Liu, Miao, Wang, ZongGuo, Meng, Sheng, Wang, YanGang. MatChat: A large language model and application service platform for materials science. CHINESE PHYSICS B[J]. 2023, 32(11): http://dx.doi.org/10.1088/1674-1056/ad04cb.[8] 谢帆恺, 芦腾龙, 喻泽, 王亚娴, 王宗国, 孟胜, 刘淼. Lu-H-N Phase Diagram from First-Principles Calculations. 中国物理快报:英文版. 2023, 40(5): 78-82, http://lib.cqvip.com/Qikan/Article/Detail?id=7110088973.[9] Liu, Zhiwei, Guo, Jialong, Chen, Ziyi, Wang, Zongguo, Sun, Zhenan, Li, Xianwei, Wang, Yangang. Swarm intelligence for new materials. COMPUTATIONAL MATERIALS SCIENCE[J]. 2022, 214: http://dx.doi.org/10.1016/j.commatsci.2022.111699.[10] Kang, Yuchong, Ma, Xiaoyun, Fu, Jing, Yang, Kun, Wang, Zongguo, Li, Haibo, Ma, Wei, Zhang, Jin. Substrate-Mediated Borophane Polymorphs through Hydrogenation of Two-Dimensional Boron Sheets. JOURNAL OF PHYSICAL CHEMISTRY LETTERS. 2022, http://dx.doi.org/10.1021/acs.jpclett.2c02417.[11] Yingzong Liang, Mingwei Chen, Yanan Wang, Huaxian Jia, Tenglong Liu, Fankai Xie, Guanghui Cai, Zongguo Wang, Sheng Meng, Miao Liu. A universal model for accurately predicting formation energy of inorganic compounds. Science China Mathematics[J]. 2022, https://www.sciengine.com/SCMs/article;JSESSIONID=8e9544c7-c344-4dc3-9212-4fa6a6047bc7?doi=10.1007/s40843-022-2134-3&scroll=.[12] Boyao Zhang, Chao Yang, Haikuo Zhang, Zongguo Wang, Jingqi Sun, Lihua Wang, Yonghua Zhao, Yangang Wang. Graph Representation Learning for Similarity Stocks Analysis. Journal of Signal Processing Systems[J]. 2022, https://doi.org/10.1007/s11265-022-01755-6.[13] Jialong Guo, Ziyi Chen, Zhiwei Liu, Xianwei Li, Zhiyuan Xie, Zongguo Wang, Yangang Wang. Neural network training method for materials science based on multi-source databases. SCIENTIFIC REPORTS[J]. 2022, 12(1): 1-10, [14] Gong, Haiyan, He, Jie, Zhang, Xiaotong, Duan, Lei, Tian, Ziqi, Zhao, Wei, Gong, Fuzhou, Liu, Tong, Wang, Zongguo, Zhao, Haifeng, Jia, Weipeng, Zhang, Lei, Jiang, Xue, Chen, Wencong, Liu, Shilong, Xiu, Hao, Yang, Wenjin, Wan, Jiawang. A repository for the publication and sharing of heterogeneous materials data. SCIENTIFIC DATA[J]. 2022, 9(1): http://dx.doi.org/10.1038/s41597-022-01897-z.[15] 王宗国, 郭令举, 万萌, 李凯, 刘志威, 郭佳龙. 基于单元素掺杂的TiO2光催化材料数据库. 中国科学数据:中英文网络版[J]. 2021, 6(1): 254-263, http://lib.cqvip.com/Qikan/Article/Detail?id=7104239575.[16] Wang, Qianchen, Ling, Chen, Li, Jingbo, Gao, Hongcai, Wang, Zongguo, Jin, Haibo. Experimental and theoretical investigation of Na4MnAl(PO4)(3) cathode material for sodium-ion batteries. CHEMICAL ENGINEERING JOURNAL[J]. 2021, 425: http://dx.doi.org/10.1016/j.cej.2021.130680.[17] Ling, Chen, Wang, Qianchen, Wang, Xiaoqian, Zhao, Zhengjing, Wang, Zongguo, Li, Jingbo, Zhao, Yongjie, Jin, Haibo. Hole Dopants Disentangling Peierls-Mott Relevance States of VO2 by First-Principles Calculation. JOURNAL OF PHYSICAL CHEMISTRY C[J]. 2021, 125(10): 5816-5823, https://www.webofscience.com/wos/woscc/full-record/WOS:000631433100041.[18] Jialong Guo, Zhiwei Liu, Zongguo Wang, Yuhang Hu, Jue Wang, Yangang Wang. A Genetic Algorithm-Based Artificial Network Method for Material Feature Recombination. 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud)null. 2021, https://ieeexplore.ieee.org/document/9627202.[19] 郭佳龙, 王宗国, 王彦棡, 赵旭山, 宿彦京, 刘志威. 基于计算机技术的材料研发方法概述. 数据与计算发展前沿[J]. 2021, 120-132, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDAUTO&filename=KYXH202102014&v=MDcyODR1eFlTN0RoMVQzcVRyV00xRnJDVVI3dWZZZVJ1RmlEbVc3M01MalRUWnJHNEhORE1yWTlFWUlSOGVYMUw=.[20] Ling, Chen, Zhao, Zhengjing, Hu, Xinyuan, Li, Jingbo, Zhao, Xushan, Wang, Zongguo, Zhao, Yongjie, Jin, Haibo. W Doping and Voltage Driven Metal-Insulator Transition in VO2 Nano -Films for Smart Switching Devices. ACS APPLIED NANO MATERIALS[J]. 2019, 2(10): 6738-6746, [21] 周嘉欣, 杨小渝, 王宗国, 赵旭山. ABINIT高通量第一性原理计算和数据管理集成框架的研发. 科研信息化技术与应用[J]. 2019, 10(1): 48-58, http://lib.cqvip.com/Qikan/Article/Detail?id=7100193454.[22] Yang, Xiaoyu, Wang, Zongguo, Zhao, Xushan, Song, Jianlong, Yu, Chao, Zhou, Jiaxin, Li, Kai. MatCloud, a high-throughput computational materials infrastructure: Present, future visions, and challenges. CHINESE PHYSICS B[J]. 2018, 27(11): http://lib.cqvip.com/Qikan/Article/Detail?id=676726988.[23] Yang, Xiaoyu, Wang, Zongguo, Zhao, Xushan, Song, Jianlong, Zhang, Mingming, Liu, Haidong. MatCloud: A high-throughput computational infrastructure for integrated management of materials simulation, data and resources. COMPUTATIONAL MATERIALS SCIENCE[J]. 2018, 146: 319-333, http://www.corc.org.cn/handle/1471x/2374252.[24] Wang, Zongguo, Yang, Xiaoyu, Wang, Ligen, Wang, Juan, Zhang, Mingming, Zhao, Xushan, Ren, Jie, Zeng, Zhi. CE Screen: An energy-based structure screening automatic workflow. COMPUTATIONAL MATERIALS SCIENCE[J]. 2018, 143: 55-62, http://www.corc.org.cn/handle/1471x/2374253.[25] 虞超, 杨小渝, 赵旭山, 王宗国. 一种集成LAMMPS分子动力学软件的参数描述方法和规范. 科研信息化技术与应用[J]. 2018, 3-14, http://lib.cqvip.com/Qikan/Article/Detail?id=75898872504849564852484849.[26] 王娟, 杨小渝, 王宗国, 任杰, 赵旭山. 基于混合学习算法的材料计算数据误差估计. 系统仿真学报[J]. 2018, 30(10): 3843-3852,3860, http://lib.cqvip.com/Qikan/Article/Detail?id=676532099.[27] Wang, Juan, Yang, Xiaoyu, Zeng, Zhi, Zhang, Xiaoli, Zhao, Xushan, Wang, Zongguo. New methods for prediction of elastic constants based on density functional theory combined with machine learning. COMPUTATIONAL MATERIALS SCIENCE[J]. 2017, 138: 135-148, http://dx.doi.org/10.1016/j.commatsci.2017.06.015.[28] Huang, Sunchao, Zhang, Yongsheng, Zhang, Xiaoli, Wang, Zongguo, Yang, Xiaoyu, Zeng, Zhi. Mechanical properties of zirconium-based random alloys: Alloying elements and composition dependencies. COMPUTATIONAL MATERIALS SCIENCE[J]. 2017, 127(无): 60-66, http://dx.doi.org/10.1016/j.commatsci.2016.10.028.[29] Wang, Zongguo, Qin, Shaojing, Wang, Chuilin. Properties of single-layer graphene with supercell doped by one defect only. INTERNATIONAL JOURNAL OF MODERN PHYSICS B[J]. 2017, 31(27): http://dx.doi.org/10.1142/S021797921750196X.[30] Wang, ZongGuo, Yang, XiaoYu, Qin, ShaoJing, Wang, ChuiLin. Properties of Single-Layer Boron Sheets: First-Principle Study through MatCloud Platform. COMMUNICATIONS IN THEORETICAL PHYSICS[J]. 2017, 68(1): 125-130, https://www.webofscience.com/wos/woscc/full-record/WOS:000405656900019.[31] 杨小渝, 王娟, 任杰, 宋健龙, 王宗国, 曾雉, 张小丽, 黄孙超, 张平, 林海青. 支撑材料基因工程的高通量材料集成计算平台. 计算物理[J]. 2017, 34(6): 697-704, http://lib.cqvip.com/Qikan/Article/Detail?id=673934364.[32] Wang, Juan, Yang, Xiaoyu, Wang, Guisheng, Ren, Jie, Wang, Zongguo, Zhao, Xushan, Pan, Yue. Error estimation in high-throughput density functional theory calculation for material property: elastic constants of cubic binary alloy case. COMPUTATIONAL MATERIALS SCIENCE[J]. 2017, 134: 190-200, http://www.corc.org.cn/handle/1471x/2374223.[33] 杨小渝, 任杰, 王娟, 赵旭山, 王宗国, 宋健龙. 基于材料基因组计划的计算和数据方法. 科技导报. 2016, 62-67, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2017&filename=KJDB201624016&v=MTg1NTFPcTQ5RVlvUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3FlWmVab0Z5dmxWcnZBTGlmUGJMRzRIOWY=.[34] 杨小渝, 任杰, 王娟, 赵旭山, 王宗国, 宋健龙. 基于材料基因组计划的计算和数据方法. 科技导报[J]. 2016, 34(24): 62-67, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5884692&detailType=1.[35] 王娟, 杨小渝, 王宗国, 王幸阳, 张小丽, 曾雉. SQS二元合金设计的高通量方法和技术研究. 计算机工程与科学[J]. 2016, 38(3): 401-410, http://lib.cqvip.com/Qikan/Article/Detail?id=668250550.[36] Sui XiaoHong, Wang ZongGuo, Kang Kai, Qin ShaoJing, Wang ChuiLin. Can Nano-Particle Melt below the Melting Temperature of Its Free Surface Partner?. COMMUNICATIONS IN THEORETICAL PHYSICS[J]. 2015, 63(2): 249-254, http://www.irgrid.ac.cn/handle/1471x/1115048.[37] Wang, Zongguo, Qin, Shaojing, Wang, Chuilin, Hui, Qun. Fluorine adsorption on the graphene films: From metal to insulator. COMPUTATIONAL MATERIALS SCIENCE[J]. 2015, 97: 14-19, http://dx.doi.org/10.1016/j.commatsci.2014.09.018.[38] Zhiwei Liu, Jialong Guo, Ziyi Chen, Zongguo Wang, Zhenan Sun, Xianwei Li, Yangang Wang. Swarm intelligence for new materials. COMPUTATIONAL MATERIALS SCIENCE. http://dx.doi.org/10.1016/j.commatsci.2022.111699.
科研活动
科研项目
( 1 ) 基于材料基因工程的硼烯光电材料设计研究, 负责人, 国家任务, 2019-01--2021-12( 2 ) III-V族半导体材料的“基因图谱”研究, 负责人, 中国科学院计划, 2019-09--2024-09( 3 ) 青促会专项, 负责人, 中国科学院计划, 2021-01--2024-12( 4 ) 材料基因工程关键技术与支撑平台, 参与, 国家任务, 2018-07--2022-06( 5 ) 多物理复杂体系科学计算应用平台人工智能技术研发, 负责人, 国家任务, 2020-10--2023-11( 6 ) 神经网络是函数构建及其在材料设计中的应用, 负责人, 地方任务, 2021-07--2023-06( 7 ) 数据及人工智能驱动的能源材料研发范式创新, 负责人, 中国科学院计划, 2022-01--2022-08( 8 ) 能源材料端到端设计的信息化智能平台, 负责人, 中国科学院计划, 2023-03--2024-12( 9 ) 量子多体问题求解软件框架研究, 负责人, 中国科学院计划, 2023-09--2026-08
指导学生
在读研究生
培养在读硕士生2人,计划每年招生1人。