17 Mar 2023
Seminar, Lecture, Talk
Physics Department - Transport Evidences of Excitonic Condensate in CrOCl-coupled Bernal Bilayer Graphene
17 Mar 2023
Seminar, Lecture, Talk
Department of Chemistry - PhD Student Seminar - Reduction of CO2 with Hydrosilanes via Homogeneous Catalysis
Student: Mr. Xin XU
Department: Department of Chemistry, HKUST
Supervisor: Professor Zhenyang LIN
17 Mar 2023
Seminar, Lecture, Talk
Department of Chemistry - PhD Student Seminar - Phosphinidene: Synthesis, Structure and Reactivity
Student: Miss Junyi WANG
Department: Department of Chemistry, HKUST
Supervisor: Professor Zhenyang LIN & Professor Qing YE
17 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on PDE - Rectifiability and uniqueness of blow-ups for points with positive Alt-Caffarelli-Friedman limit
The Alt-Caffarelli-Friedman (ACF) monotonicity formula is an important tool in the study of free boundary problems.
16 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - Hong Kong-Singapore joint Seminar Series in Financial Mathematics/Engineering - Mean Field Optimization Problem Regularized by Fisher Information
Recently there is a rising interest in the research of mean-field optimization, in particular because of its role in analyzing the training of neural networks.
16 Mar 2023
Seminar, Lecture, Talk
Physics Department - Diamond-based Quantum Sensor for Molecular Analytics
16 Mar 2023
Seminar, Lecture, Talk
Development and Application of Functional Materials for Next-Generation Electrochemical Energy Storage Technologies
With advances in electrification in transportation, extensive use of power electronics, and utilization of renewable energy and their assimilation into the electrical grid, there is a clear need to
16 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Statistics - Dynamic Matrix/Tensor Factor Models for High Dimensional Time Series
In many applications fields such as economics, finance and engineering, matrix or tensor observations are now commonly observed over time. Often the dimensions of these time series data high.