2 Jul – 6 Aug 2024
Other Format
2024 Summer Research Program
The Summer Research Program is designed for outstanding end-of-year 3 undergraduate students who are interested in pursuing research postgraduate study in the School of Science. This program offers participants with the unique opportunity to immerse themselves in the research life at HKUST campus…
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8 Oct 2020
Seminar, Lecture, Talk
PHYS Seminar - Collective Motion of Active Matter in Confinement
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6 Oct 2020
CHEM Seminar - Catalytic Enantioselective Redox-Neutral Reactions and Divergent Heterocycle Syntheses
Speaker: Professor Yu ZHAO Institution: Department of Chemistry, National University of Singapore Hosted by: Professor Jianwei SUN
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6 Oct 2020
Seminar, Lecture, Talk
PHYS Seminar - Heurisitic Machinery to Uncover Hidden Features of SU(N) Fermions with Neural Networks 
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29 Sep 2020
Seminar, Lecture, Talk
MATH - Seminar on Pure Mathematics - Cluster structurer on K-theoretic Coulomb branches, part II.
It was conjectured by Davide Gaiotto, that K-theoretic Coulomb branches of 3d N=4 SUSY gauge theories possess structure of cluster varieties. In this talk, I will explain how to attack this conjecture in the case of quiver gauge theories.
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25 Sep 2020
Seminar, Lecture, Talk
MATH - Seminar on Pure Mathematics - Introduction to Coulomb branches and their cluster structure
Braverman, Finkelberg and Nakajima have recently proposed a mathematical definition of the Coulomb branch of a 3d N=4 gauge theory of cotangent type, associating to each such theory a family of associative algebras deforming the algebra of functions on an affine Poisson
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11 Sep 2020
Seminar, Lecture, Talk
MATH - Seminar on Scientific Computation - Towards the high-fidelity computation and modeling of compressible turbulent flows
In this talk, we will focus on the high-fidelity computations of turbulence from the perspective of modeling and numeric.
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28 Aug 2020
Seminar, Lecture, Talk
MATH - Seminar on Statistics and Machine Learning - ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
The theory and practice of stochastic optimization has focused on stochastic gradient descent (SGD) in recent years, retaining the basic first-order stochastic nature of SGD while aiming to improve it via mechanisms such as averaging, momentum, and variance reduction.
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28 Aug 2020
MPhil in Chemistry - Analysis of Polycyclic Aromatic Hydrocarbons and Derivatives in Ambient Aerosols using 1-D and 2-D Gas Chromatography-Mass Spectrometry Methods
Candidate: Mr. REN, Zhong
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