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1998年毕业于中国工程物理研究院北京应用物理与计算数学研究所理论物理专业,获理学博士学位。随后赴香港(1998.8~1999.8)及美国Arizona State University(2000.3~2003.12)做博士后及助理研究教授。2004年一月回国任华东师范大学物理系教授,组建华东师范大学理论物理研究所,并于2004年5月任该所所长至今,目前为二级教授。长期从事混沌动力学与复杂网络等领域的研究工作,致力于用统计物理的方法来研究复杂系统的动力学行为及复杂现象的微观机制,在若干方向上取得了原创性成果。在基础理论方面,最早给出了一套适用于保守系统的混沌控制与同步化的理论与方法,提出了分立系统的相概念与高维流系统的空间相概念,揭示了混沌系统的相关共振,给出了产生复杂网络一般结构的最早模型之一,建立了全新的网络热传导模型;在应用方面,给出了动态的或变参数情形下的时间序列相同步的置换熵判据,探讨了人类活动的动态特征对流行病传播的影响,并将耦合振子动力学有效地用于解释生物系统如生物节律、海豚等的半脑睡眠及哺乳动物的听力等方面的物理机制。这些工作发表SCI论文100余篇,其中大多数论文发表在国际一流的物理学术杂志上(Phys.Rev.Lett.7篇,Phys.Rep.1篇,Nat. Commun.1篇,Natl. Sci. Rev.2篇(IF 16.693),PRE 37篇(包括7篇Rapid communications)),其中20余篇文章分别被美国物理协会的Physics News Update、PRL Editors' Suggestion、Editors’ Picks of Biomedical Advances、Rev.Mod.Phys.、Phys. Rep.、Nature Photonics、PLoS、Virtual Journal of Biological Physics Research及The Wolfram Demonstrations等特别评论与转载。2004年回国后独立做出的部分结果已被国际著名学者分别在癫痫病的数据分析、碳纳米光纤实验、及麻醉效应中证实,并被当做参考标准。近期在高等教育出版社与科学出版社出版专著及合著四部:《混沌动力学基础及其应用》(2006)、《复杂系统与复杂网络》(2009)、《混沌动力学基础及其在大脑功能方面的应用》(2018)、与《复杂网络上的流行病传播》(2021)。曾获1997年中国工程物理研究院北京研究生部科技创新奖、1998年广西壮族自治区教委科技进步一等奖、2010年中国数学力学物理学高新技术交叉研究学会第六届焦善庆MMPH研究奖。获2013年华东师大优秀研究生指导教师奖(硕导类), 2014年华东师范大学第一届优秀研究生教学奖,2017年10月“华东师范大学教学成果奖”一等奖,2017年上海市教学成果奖二等奖,2018年度华东师范大学科学技术奖一等奖,及2019年度高等学校科学研究优秀成果奖(科学技术)自然科学奖二等奖。 教育经历 1981.9~ 1985.6:华中师范大学物理系 本科 1985.9~ 1988.6:华中师范大学物理系 硕士 1995.9~ 1998.4:北京应用物理与计算数学研究所 博士 工作经历 1993.3~ 1993.7:中科院理论物理研究所访问学者 1994.3~ 1994.5:南京大学访问学者 1995.9~ 1998.4:北京应用物理与计算数学研究所 博士生 1998.8~ 1999.8:香港浸会大学物理系博士后 2000.3~ 2003.7:美国亚里桑那州立大学数学系博士后 2003.7~ 2003.12:美国亚里桑那州立大学生物工程系研究员 2004.5~ 2004.8:香港浸会大学物理系访问学者 2005.7~ 2005.9:新加坡国立大学物理系高级访问学者 2005.11~ 2006.1:香港中文大学物理系访问学者 2006.7~ 2006.9:新加坡国立大学物理系高级访问学者 2006.12~ 2007.2:香港中文大学物理系访问学者 2007.7~ 2007.10:日本京都大学应用数学与物理系高级访问学者 2007.12~ 2008.1:新加坡国立大学物理系高级访问学者 2008.11~ 2009.1:新加坡国立大学物理系高级访问学者 2009.7~ 2009.8:日本京都大学应用数学与物理系高级访问学者 2009.12~ 2010.1:新加坡国立大学物理系高级访问学者 2010.10~ 2011.1:香港中文大学物理系杨振宁(Fellowship)访问学者 2011.7~ 2011.9:新加坡国立大学物理系访问教授(Visiting Professor) 2011.10~ 2011.12:巴西圣保罗大学计算机科学系高级访问学者 2012.8~ 2012.9:新加坡国立大学物理系访问教授(Visiting Professor) 2012.11~ 2012.12:德国洪堡大学访问教授(Visiting Professor) 2013.9~ 2013.9:韩国庆北国立大学访问教授(Visiting Professor) 2004.1~ 至今:华东师范大学物理系教授,理论物理研究所所长 荣誉及奖励 获1997年中国工程物理研究院北京研究生部科技创新奖 获1998年广西区教委科技进步一等奖 获1998年广西区科委科技进步三等奖 获2010中国数学力学物理学高新技术交叉研究学会第六届焦善庆MMPH研究奖 获2013年华东师大优秀研究生指导教师奖(硕导类) 获2015年1月华东师范大学第一届优秀研究生教学奖 获2017年10月华东师范大学教学成果奖一等奖 获2017年上海市教学成果奖二等奖:刘宗华、管曙光、邹勇、周杰,“混沌动力学与复杂网络 专业课程体系的构建与教学实践” 获2018年度华东师范大学科学技术奖一等奖 获2019年度高等学校科学研究优秀成果奖(自然科学)二等奖:刘宗华、管曙光、邹勇、周杰, “复杂网络上的动力学相变研究” 获2020年度物理与电子科学学院优秀指导教师奖 获华东师范大学2021年研究生教育卓越育人奖(优秀研究生导师奖) 获华东师范大学2023年研究生教育卓越育人奖(优秀研究生导师奖) 指导的学生获奖: 唐明获2008年华东师范大学第三届“学生科技之星”(全校共10名学生获奖)、2009年第五届全国复杂网络学术会议最佳学生论文奖、及2008上海市优秀硕士毕业生 阮中远获2011年上海大学运筹学与控制论博士生论坛复杂网络动力学小组的论文一等奖与2012年第八届全国复杂网络学术会议最佳学生论文奖 张希昀获2013年九届全国复杂网络学术会议最佳学生论文奖与2016年上海市优秀博士毕业生 林诏华获2020年博士生能达奖学金、2020年第十六届全国复杂网络学术会议最佳学生论文奖一等奖、2021年上海市优秀博士毕业生、2021年华东师范大学优秀博士学位论文 霍思宇获2020年林岛第 70 届诺贝尔奖获得者大会参会者选拔与华东师范大学2021年优秀博士生学术创新能力提升计划,2022年上海市超级博后 康玲获2022年华东师范大学优秀博士学位论文,2023年上海市超级博后 吴天威获2022上海市优秀毕业生及2022华东师大优秀硕士学位论文

研究领域

非线性动力学 复杂网络上的动力学输运 大脑的认知与记忆

近期论文

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Liyuan Deng, Siyu Huo, Aihua Chen, and Zonghua Liu, “Coupling resonance of signal responses induced by heterogeneously mixed positive and negative couplings in cognitive subnetworks”, Chaos, Solitons & Fractals 180, 114505 (2024) Tianle Xu, Shuguang Guan, Zonghua Liu, Yong Zou, “Maximal hysteretic range for explosive synchronization”, Chaos, Solitons & Fractals 180, 114455 (2024) Zhiyin Yang, Dehua Chen, Gang Hu, and Zonghua Liu, “ Partial remote synchronization in star-like networks with partial connections among leaf nodes”, Physical Review Research 5, 043253 (2023) Siyu Huo and Zonghua Liu, “Condensation of eigenmodes in functional brain network and its correlation to chimera state”, Communications Physics 6, 285 (2023) Xi Chen, Haoda Ren, Zhonghua Tang, Ke Zhou, Liqin Zhou, Zhentao Zuo, Xiaohua Cui, Xiaosong Chen, Zonghua Liu, Yong He, Xuhong Liao, “Leading Basic Modes of Spontaneous Activity Drive Individual Functional Connectivity Organization in the Resting Human Brain ”, Communications Biology6, 892 (2023) Qiwei Shen, and Zonghua Liu, “Unidirectional links prefer local firing propagation in the neural network of C. elegans”, Chaos, Solitons & Fractals 174, 113850 (2023) Ling Kang and Zonghua Liu, “Unraveling the complexity of neural networks Comment on “Structure and function in artificial, zebrafish and human neural networks” by Peng Ji et al. ”, Physics of Life Reviews 46, 158–160 (2023) Dehua Chen, Zhiyin Yang, Qin Xiao, and Zonghua Liu, “Sensitive dynamics of brain cognitive networks and its resource constraints”,Chaos, 33, 063139 (2023) Haoyu Cao, Zhiyin Yang, and Zonghua Liu, “Remote synchronization in multi-layered community networks with star-like topology”, Chaos, Solitons & Fractals 166, 112893 (2023) Zhiyin Yang, Dehua Chen, Qin Xiao, and Zonghua Liu, “Phase frustration induced remote synchronization”,Chaos 32, 103125 (2022) Lang Zeng, Ying-Qi Zeng, Ming Tang , Ying Liu, Zonghua Liu, and Ying-Cheng Lai, “Quantitative assessment of the effects of resource optimization and ICU admission policy on COVID-19 mortalities”, Physical Review Research 4, 033202 (2022) Tianwei Wu, Siyu Huo, K. Alfaro-Bittner, S. Boccaletti,and Zonghua Liu, “Double Explosive Transition in the Synchronization of Multilayer Networks”, Physical Review Research 4, 033009 (2022) [本文的Fig.6被Review article: Nature Physics 19,1247-1262 (2023)采用] Qiwei Shen and Zonghua Liu, “Echo effect in brain networks”, Chaos, Solitons & Fractals 160, 112260 (2022) Haoyu Cao and Zonghua Liu, “A novel synchronization transition and amplitude death in the local brain networks of cortical regions”, Nonlinear Dyn 108, 2861–2874 (2022) Tianwei Wu, Xinhua Zhang, and Zonghua Liu, “Understanding the mechanisms of brain functions from the angle of synchronization and complex network”, Front. Phys. 17(3), 31504 (2022) Siyu Huo, Yong Zou, Marcus Kaiser,and Zonghua Liu, “Time-limited self-sustaining rhythms and state transitions in brain networks”, Physical Review Research 4, 023076 (2022) 刘宗华, 2021年诺贝尔物理学奖解读:复杂物理视角,物理教学 43(12), 2 (2021) 刘宗华, 复杂网络科学可以解释生命现象吗?物理教学 43(10), 2 (2021) Qiwei Shen and Zonghua Liu, “Remote firing propagation in the neural network of C.elegans”, Phys. Rev. E103, 052414 (2021) Zhenhua Wang and Zonghua Liu, “Effect of remote signal propagation in an empirical brain network”, Chaos 31, 063126 (2021) Kezhao Xiong,Zhengxin Yan, You Xie, and Zonghua Liu, “Regulating heat conduction of complex networks by distributed nodes masses”, Sci. Rep.11,5501 (2021) Zheng-Meng Zhai, Yong-Shang Long, Ming Tang, Zonghua Liu, Ying-Cheng Lai, “Optimal inference of the start of COVID-19”, Physical Review Research 3,013155 (2021) S. Huo, C. Tian, M. Zheng, S. Guan, C.S. Zhou, and Z. Liu, “Spatial multi-scaled chimera states of cerebral cortex network and its inherent structure-dynamics relationship in human brain”, National Science Review 8: nwaa125 (2021) https://doi.org/10.1093/nsr/nwaa125 刘宗华, “Special topic on dynamics on complex networks”,中国科学: 物理学力学 天文学 50, 010501 (2020) Kezhao Xiong,Zonghua Liu, ChunhuaZeng, Baowen Li, “Thermal siphon phenomenon and thermal/electric conduction in complex networks”, National Science Review 7: 270-277 (2020) https://doi.org/10.1093/nsr/nwz128(被被美国科学促进会(American Association for the Advancement of Science, AAAS)的全球科技新闻网EurekAlert特别报道, 见 https://www.eurekalert.org/pub_releases/2019-09/scp-tse092719.php) Ling Kang, Zhenhua Wang, Siyu Huo, Changhai Tian, and Zonghua Liu, “Remote synchronization in human cerebral cortex network with identical oscillators”, Nonlinear Dyn 99:1577–1586 (2020) 王振华, 刘宗华, “复杂网络上的部分同步化: 奇异态、遥同步与集团同步”, Acta Physica Sinica 69, 088902 (2020) Zhao-Hua Lin, Mi Feng, Ming Tang*, Zonghua Liu*, Chen Xu, Pak Ming Hui, and Ying-Cheng Lai, “Non-Markovian recovery makes complex networks more resilient against largescale failures”, Nature Communications11, 2490 (2020) Jiameng Zhang, Stefano Boccaletti, Zonghua Liu, andShuguang Guan, “Synchronization of phase oscillators under asymmetric and bimodal distributions of natural frequencies”, Chaos, Solitons and Fractals 136, 109777 (2020) Zhenhua Wang and Zonghua Liu, “A brief review of chimera state in empirical brain networks”, Frontiers in Psychology 11, 724 (2020) Dayu Wu, Ming Tang, Zonghua Liu, and Ying-Cheng Lai, “Impact of inter-layer hopping on epidemic spreading in a multilayer network”, Communications in Nonlinear Science and Numerical Simulation 90, 105403 (2020) Liang Cao and Zonghua Liu, “How IQ depends on the running mode of brain network? ”, Chaos 30, 073111 (2020) Siyu Huo, Changhai Tian, Ling Kang, and Zonghua Liu, “Chimera states of neuron networks with adaptive coupling”, Nonlinear Dynamics 96, 75 (2019) Xue Li, Tian Qiu, Stefano Boccaletti, Irene Sendi?a-Nadal, Zonghua Liu, Shuguang Guan, “Synchronization clusters emerge asthe result of a global coupling among classical phase oscillators”, NJP 21, 053002 (2019) Ling Kang, Changhai Tian, Siyu Huo, and Zonghua Liu, “A two-layered brain network model and its chimera state”, Scientific Reports 9, 14389 (2019) Yizhan Xu, Ming Tang, Ying Liu, Yong Zou, and Zonghua Liu, “Identifying epidemic threshold by temporal profile of outbreaks on networks”, Chaos 29, 103141 (2019) Tian Qiu, S. Boccaletti, Zonghua Liu, and Shuguang Guan, “Characterizing nonstationary coherent states in globally coupledconformist and contrarian oscillators”, Phys. Rev. E 100, 052310 (2019) Zewen Chen, Yong Zou, Shuguang Guan, Zonghua Liu, and Juergen Kurths, “Fully solvable lower dimensional dynamics of Cartesian product of Kuramoto models”, New J. Phys. 21, 123019 (2019) Muhua Zheng, Wei Wang, Ming Tang, Jie Zhou, S. Boccaletti and Zonghua Liu, “Multiple peaks patterns of epidemic spreading in multi-layer networks”, Chaos, Solitons and Fractals 107 (2018) 135–142 (美国 匹兹堡大学网站 https://www.tycho.pitt.edu/featured-works/对此工作做了专题特别报道) Liang Cao, Changhai Tian, Zhenhua Wang, Xiyun Zhang, and Zonghua Liu, “Influence of stochastic perturbations on the cluster explosive synchronization of second-order Kuramoto oscillators on networks”, PRE 97, 022220 (2018) Jiao Wu, Muhua Zheng, Zi-Ke Zhang, Wei Wang, Changgui Gu, and Zonghua Liu, “A model of spreading of sudden events on social networks”, Chaos 28, 033113 (2018) Changhai Tian, Liang Cao, Hongjie Bi, Kesheng Xu, and Zonghua Liu, “Chimera states in neuronal networks with time-delay and electromagnetic induction”, Nonlinear Dynamics 93, 1695 (2018) Hengcong Liu, Muhua Zheng, and Zonghua Liu, “A paradox of epidemics between the state and parameter spaces”, Sci. Rep. 8, 7517 (2018) 唐明,刘宗华,“网络科学:网络化时代的思维范式”, 科学 70, 29 (2018) Kezhao Xiong, Chunhua Zeng, Zonghua Liu,and Baowen Li, “Influence of degree of complex network on heat conduction”, Phys. Rev. E 98, 022115 (2018) Yong Zou, Zhiyong Zhao, Dazhi Yin, Mingxia Fan, Michael Small, Zonghua Liu, Claus C Hilgetag, and Juergen Kurths, “Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke”, NeuroImage: Clinical 20, 523 (2018) Tian Qiu , Ivan Bonamassa , Stefano Boccaletti , Zonghua Liu and Shuguang Guan, “Rhythmic synchronization and hybrid collective states of globally coupled oscillators”, Sci. Rep. 8, 12950 (2018) Kezhao Xiong, Chunhua Zeng, and Zonghua Liu , “Effect of degree correlation on the thermal transport in complex networks”, Nonlinear Dyn. 94, 3067-3075 (2018) Hui Wu, Ling Kang, Zonghua Liu, and Mukesh Dhamala,“Exact explosive synchronization transitions in Kuramoto oscillators with time-delayed coupling” , Sci. Rep. 8, 15521 (2018) Kezhao Xiong, Jie Zhou, Ming Tang, Chunhua Zeng, and Zonghua Liu , “Controlling of thermal conduction and rectification in a model of complex networks with two asymmetric parts”, Phys. Rev. E 98, 062144 (2018)(We would like to inform you that we have selected Figure 4b from this paper to be displayed on our journal web site as part of our Kaleidoscope, 见:https://journals.aps.org/pre/kaleidoscope/pre/98/6/062144 或 Kaleidoscope-Phys. Rev. E 98, 062144 (2018).jpg) Chao-Qing Wang, Alain Pumir, Nicolas B. Garnier and Zonghua Liu, “Explosive synchronization enhances selectivity: Example of the cochlea”,Front. Phys. 12, 128901 (2017) Changhai Tian, Xiyun Zhang, Zhenhua Wang, and Zonghua Liu, “Diversity of chimera-like patterns from a model of 2D arrays of neurons with non-local couplings”,Front. Phys. 12, 128904 (2017) Zhenhua Wang, Changhai Tian, Mukesh Dhamala and Zonghua Liu, “A small change in neuronal network topology can induce explosive synchronization transition and activity propagation in the entire network”,Sci. Rep. 7, 561 (2017). Xiyun Zhang, Arkady Pikovsky and Zonghua Liu, “Dynamics of oscillators globally coupled via two mean fields”, Sci. Rep. 7, 2014 (2017). Muhua Zheng, Ming Zhao, Byungjoon Min, and Zonghua Liu, “Synchronized and mixed outbreaks of coupled recurrent epidemics”, Sci. Rep. 7, 2424 (2017). (美国匹兹堡大学网站 https://www.tycho.pitt.edu/featured-works/对此工作做了专题特别报道) Kezhao Xiong and Zonghua Liu, “Temperature dependence of heat conduction coef?cient innanotube/nanowire networks”,Chinese Physics B 26, 098904 (2017) Changhai Tian, Hongjie Bi, Xiyun Zhang, Shuguang Guan, and Zonghua Liu, “Asymmetric couplings enhance the transition from chimera state to synchronization”,Phys. Rev. E 96, 052209(2017) Jie Zhou, Yong Zou, Shuguang Guan, Zonghua Liu, Gaoxi Xiao, and Stefano Boccaletti, “Connection adaption for control of networked mobile chaotic agents”,Sci. Rep.7, 16069(2017)

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