7月14日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Boron Clusters
Abstract The study of carbon clusters led to the discoveries of fullerenes, carbon nanotubes, and graphene. Are there other elements that can form similar nanostructures? To answer this question, the speaker and his research group have focused on boron clusters, which have been investigated…
了解更多
7月11日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics -Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
The invariant distribution, which is characterized by the stationary Fokker-Planck equation, is an important object in the study of randomly perturbed dynamical systems.  Traditional numerical methods for computing the invariant distribution based on the Fokker-Planck e
檢視
7月10日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Tackling high dimensional challenges in scientific computing (part I)
In this mini-series of talks, we will survey some recent advances in utilizing advances in machine learning to help tackle challenging tasks in scientific computing, focusing on numerical methods for solving high dimensional partial differential equations and high dimensio
檢視
7月10日
研討會, 演講, 講座
Department of Chemistry Seminar - Computational electrochemistry from AIMD to AI²MD
Speaker: Professor Jun CHENG Institution: State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Hosted By: Professor Ding PAN Abstract
檢視
7月7日
研討會, 演講, 講座
Department of Mathematics - Seminar on Pure Mathematics - Deformation of invariant connections 
Suppose a group acts on a manifold and the action can be lifted to a principal bundle over it. We consider invariant connections and their gauge equivalence classes.
檢視
7月7日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Neural Networks Based on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems
In this work, we propose two kinds of neural networks inspired by power method and inverse power method to solve linear eigenvalue problems.
檢視
7月6日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Numerical methods in density functional theory
Density functional theory is one of the most successful approximate models in electronic structure calculations.
檢視
7月5日
研討會, 演講, 講座
Department of Mathematics - Seminar on Applied Mathematics - Hybrid parabolic-hyperbolic nature of heat equations with memory
In this talk, we reveal quantitatively the hybrid heat-wave nature of the flow generated by the heat equation with memory.
檢視
7月5日
Department of Chemistry - PhD Student Seminar - Total Synthesis of Daphenylline
Student: Mr. Peilin TIAN Department: Department of Chemistry, HKUST Supervisors: Professor Rongbiao TONG
檢視
瀏覽理學院過往舉辦的活動。
過往活動