4月17日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Superconductors and 3D Graphenes: Wild Dreams of Metal-Organic Frameworks
Speaker: Professor Zhengtao XU Institution: Institute of Materials Research and Engineering (IMRE), A*STAR, Singapore Hosted By: Professor Yangjian QUAN   Abstract
4月17日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Scientific Computation - A robust and efficient fluid-solid thermal coupling solver based on second-order Finite Volume method
Cell-centered finite volume (FV) method has been widely used in computational fluid dynamics (CFD).
4月17日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Pure Mathematics - Relative invariants and mirror symmetry
Lecture 3: Locality by complete embeddings and MS for symplectic cluster manifolds
4月17日
研讨会, 演讲, 讲座
Department of Mathematics - Lecture Series on Derived Algebraic Geometry - Lecture I
I plan to start with an introduction of overview picture with many examples, then cover basic concepts such as simplicial/derived rings, derived schemes, stable infinity categories and derived categories, animations and Qui
2023年4月15日 – 5月13日
工作坊
香港科技大学科学实验工作坊
为让高中生发掘更多科学的奥秘,科大理学院将于 2023年 4月至5月期间举办新一系列七场科学实验工作坊。参加者将亲临科大校园里探索科学。 工作坊旨在让你体验大学的科学学习,你将通过一些有趣的科学实验示范及各种教学活动去寻找学习科学的乐趣,并探索自己的意向和兴趣。 请到https://bit.ly/3VW3Zxy 查看详情及报名。 申请截止日期为 2023年2月28日(23:59)。
4月14日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on PDE - Growth rates for axisymmetric Euler flows
We consider axisymmetric, swirl-free solutions of the Euler equations in three and higher dimensions, of generalized anti-parallel-vortex-tube-pair-type: the initial scalar vorticity has a sign in the half-space, is odd under reflection across the plane, is bounded and
4月14日
研讨会, 演讲, 讲座
Physics Department - Terahertz Antennas and Reconfigurable Intelligent Metasurfaces for 6G and Beyond Communications
4月14日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics - Some Recent Developments in Expected Shortfall Regression
Expected Shortfall (ES), also known as superquantile or Conditional Value-at-Risk, has been recognized as an important measure in risk analysis and stochastic optimization.