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题目(Title):
Thermodynamic Control of Organization and Flow in Cytoskeletal Networks Far Away from Equilibrium: Bridging Simulations and Theory through Machine Learning
主讲人(Speaker):
仇雨晴
开始时间(Start Time):
2025-03-19 14:00
结束时间(End Time):
2025-03-19 15:00
报告地点(Place):
物质学院5号楼103教室
主办单位(Organization):
物质科学与技术学院
协办单位(Co-organizer):
简介(Brief Introduction):
报告人简介:
Dr. Yuqing Qiu is an Assistant Professor at the University of Tennessee, Knoxville. Her research focuses on employing equilibrium and non-equilibrium statistical mechanics, computational simulations, and machine learning models to explore the emergent behavior of complex systems in soft matter and materials. She earned her undergraduate degree in Chemistry from Zhejiang University in 2012 and completed her Ph.D. in Chemistry at the University of Utah in 2018. Following her doctoral studies, she conducted postdoctoral research at the University of Chicago and held a short-term fellowship at Johns Hopkins University.
讲座摘要:
Understanding the role of nonequilibrium driving in self-organization is crucial for developing a predictive description of biological systems, yet it is impeded by their complexity. The actin cytoskeleton serves as a paradigm for how nonequilibrium forces give rise to self-organization and long-range cortical flows. In this talk, I will focus on investigating the interplay of energy dissipation, force generation, and emergent architectures in cytoskeletal networks using tools of statistical mechanics and deploying computational simulations and machine learning models. I will discuss how non-equilibrium driving forces due to actin filament turnover and activities of molecular motors can be related to the emergent structures of cytoskeletal networks. This study may open an avenue to synthesize bio-inspired active adaptive materials.
邀请人:孙兆茹
Dr. Yuqing Qiu is an Assistant Professor at the University of Tennessee, Knoxville. Her research focuses on employing equilibrium and non-equilibrium statistical mechanics, computational simulations, and machine learning models to explore the emergent behavior of complex systems in soft matter and materials. She earned her undergraduate degree in Chemistry from Zhejiang University in 2012 and completed her Ph.D. in Chemistry at the University of Utah in 2018. Following her doctoral studies, she conducted postdoctoral research at the University of Chicago and held a short-term fellowship at Johns Hopkins University.
讲座摘要:
Understanding the role of nonequilibrium driving in self-organization is crucial for developing a predictive description of biological systems, yet it is impeded by their complexity. The actin cytoskeleton serves as a paradigm for how nonequilibrium forces give rise to self-organization and long-range cortical flows. In this talk, I will focus on investigating the interplay of energy dissipation, force generation, and emergent architectures in cytoskeletal networks using tools of statistical mechanics and deploying computational simulations and machine learning models. I will discuss how non-equilibrium driving forces due to actin filament turnover and activities of molecular motors can be related to the emergent structures of cytoskeletal networks. This study may open an avenue to synthesize bio-inspired active adaptive materials.
邀请人:孙兆茹