10月10日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Huntington (HD) diseases, and Amyotrophic Lateral Sclerosis (ALS). The common feature of these diseases…
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3月3日
研討會, 演講, 講座
Department of Chemistry - PhD Student Seminar - Water Reclamation: A Solution to Water Scarcity and Environmental Pollution
Student: Mr. Chun Kit AU Department: Department of Chemistry, HKUST Supervisor: Professor Wan CHAN
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3月3日
研討會, 演講, 講座
Department of Mathematics - Seminar on PDE - Ancient solutions to space curve shortening and where they appear
Ancient solutions appear as blow-up limits in the study of singularities of geometric flows.
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3月2日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Dispersion relation reconstruction for 2D Photonic Crystals based on polynomial interpolation
Dispersion relation reflects the dependence of wave frequency on its wavevector when the wave passes through certain material. It demonstrates the properties of this material and thus it is critical.
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3月2日
研討會, 演講, 講座
HK-Singapore Joint Seminar Series in Financial Mathematics/Engineering on 2 March 2023 (4:30pm)
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3月2日
研討會, 演講, 講座
Physics Department - Topological-cavity Surface-emitting Laser
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2月24日
研討會, 演講, 講座
IAS Center for Quantum Technologies Seminar Series - Quantum Sensing of Quantum Materials
Abstract
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2月24日
研討會, 演講, 講座
Department of Mathematics - Joint Probability Seminar - Conformally invariant fields out of Brownian loop soups
The Brownian loop soup in some two-dimensional domain is a random collection of infinitely many Brownian-type loops. It is sampled according to theta times a certain loop measure, where theta > 0 is a parameter of the model.
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2月24日
研討會, 演講, 講座
Department of Mathematics - Joint Probability Seminar - Multiple points on the boundaries of Brownian loop-soup clusters
The Brownian loop soup, introduced by Lawler and Werner in 2004, plays a crucial role in understanding two-dimensional models in statistical physics.
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