1月6日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Innovations in Organo Rare-Earth and Titanium Chemistry: From Self-Healing Polymers to N2 Activation
Abstract In this lecture, the speaker will introduce their recent studies on the development of innovative organometallic complexes and catalysts aimed at realizing unprecedented chemical transformations and advancing functional polymer synthesis. Representative achievements include the…
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7月3日
研討會, 演講, 講座
Department of Chemistry - PhD Student Seminar - Decoding the Mysteries of Life: A Comprehensive Overview of Genetic Sequencing Techniques
Student: Mr. Wenhao FU Department: Department of Chemistry, HKUST Supervisors: Professor Jinqing HUANG
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6月30日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Characterization of complete stabilizability for linear systems
In this talk, we present a sufficient and necessary condition ensuring the complete stabilization for a linear control system [A,B], where A generates a semigroup on a Hilbert space X, and B is a li
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6月29日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Regeneration of the Mouse and Human Vestibular System — A Balancing Act
  Abstract
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6月28日
研討會, 演講, 講座
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
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6月27日
研討會, 演講, 講座
Physics Department - Self-organization of Bacterial Living Matter
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6月26日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Studying Human DNA Replication Using Yeast as a Model
  Abstract
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6月26日
研討會, 演講, 講座
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.
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6月23日
研討會, 演講, 講座
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.
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