12 Jul 2023
Seminar, Lecture, Talk
Physics Department - Locomotion of Flagellated Bacteria: From the Swimming of Single Bacteria to the Collective Motion of Bacterial Swarm
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11 Jul 2023
Seminar, Lecture, Talk
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
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10 Jul 2023
Seminar, Lecture, Talk
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
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10 Jul 2023
Seminar, Lecture, Talk
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
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7 Jul 2023
Seminar, Lecture, Talk
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.
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7 Jul 2023
Seminar, Lecture, Talk
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.
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6 Jul 2023
Seminar, Lecture, Talk
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.
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5 Jul 2023
Department of Chemistry - PhD Student Seminar - Total Synthesis of Daphenylline
Student: Mr. Peilin TIAN Department: Department of Chemistry, HKUST Supervisors: Professor Rongbiao TONG
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