6月28日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Applied Mathematics - Geometry of control regions-observable sets and weak observable sets
In this talk, we will present the characterizations of the observable sets and the weak observable sets, which correspond to the observability inequality and the weak observability inequality, respectively. The former is equivalent to the null controllability, while the
6月26日
研讨会, 演讲, 讲座
IAS / School of Science Joint Lecture - Studying Human DNA Replication Using Yeast as a Model
Abstract
6月26日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on PDE - Some recent results on asymptotically Poincare-Einstein manifolds
Poincar-Einstein manifolds are a class of noncompact Riemannian manifolds with a well- defined boundary at infinity. They appear as the framework of AdS/CFT correspondence in string theory and have been studied intensively.
6月23日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Applied Mathematics - Deep Particle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
High dimensional partial differential equations (PDE) are challenging to compute by traditional mesh-based methods especially when their solutions have large gradients or concentrations at unknown locations.
6月21日
研讨会, 演讲, 讲座
Physics Department - Physics of Functional Protein Phase Separation in Biomolecular Condensates
6月20日
研讨会, 演讲, 讲座
Physics Department - Tunable Excitons and Phonons in Semiconductor Moire Systems
6月19日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Applied Mathematics - Conductivity Imaging Using Deep Neural Networks
Conductivity imaging from various observational data represents one fundamental task in medical imaging.