15 – 17 Nov 2024
Conference, Symposium, Forum
Molecular Frontiers Symposium in Hong Kong at HKUST with Nobel Laureates
INTRODUCTION The Molecular Frontiers Symposium, organized by the globally renowned Molecular Frontiers Foundation - founded by the Royal Swedish Academy of Sciences is recognized as one of the most influential scientific organizations worldwide. For the first time in the…
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3 Jul 2019
Seminar, Lecture, Talk
CHEM Seminar - Charge Transfer Complex, Thermally Activated Delayed Fluorescence and Aggregation Induced Emission
Speaker: Professor Chun Sing LEE Institution: Department of Chemistry, City University of Hong Kong Hosted by: Professor Benzhong TANG  About the speaker
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28 Jun 2019
Seminar, Lecture, Talk
PHYS Seminar - Topology from Chaos: Quantum Hall Physics, Haldane Conjecture and Beyond
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28 Jun 2019
Seminar, Lecture, Talk
CHEM Seminar - Publishing with Cell Press in Physical Science
Speakers: Dr. Jiqing SUN & Dr. Fenglin LIAO (Scientific Editor of Cell Press), Mr. Sam YU (Elsevier) Hosted by: Prof. Benzhong TANG  AbstractChem introduction
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25 Jun 2019
Seminar, Lecture, Talk
IAS / SSCI Joint Lecture - Proton Transfer Mechanisms and Developing Ring Formation Reactions
Abstract 
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25 Jun 2019
Seminar, Lecture, Talk
Seminar on PDE - Regularity of the singular set in the fully nonlinear obstacle problem
Obstacle problem is one of the well-studied free boundary problems. When the operator is the Laplacian, it is known that the free boundary consists of two parts: the regular part and the singular part.
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25 Jun 2019
Seminar, Lecture, Talk
PHYS Seminar - Ab Initio Theories of Liquid Water and Ion Solutions by Climbing up Jacob's Ladder of Density Functional Theory
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21 Jun 2019
Seminar, Lecture, Talk
Seminar on Applied Mathematics - Computing Images from Weak Optical Signals
Abstract
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21 Jun 2019
Seminar, Lecture, Talk
Seminar on Statistics - Low-tubal-rank Tensor Analysis: Theory, Algorithms and Applications
This talk will share our two recent results on low-tubal-rank tensor analysis. (1) LRTR: we establish a regularized tensor nuclear norm minimization (RTNNM) model for low-tubal-rank tensor recovery (LRTR).
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