5月11日
研討會, 演講, 講座
IAS / School of Science Joint Lecture - Regioselective Pyridine C-H-Functionalization and Skeletal Editing
Abstract Pyridines belong to the most abundant heteroarenes in medicinal chemistry and in agrochemical industry. In the lecture, highly regioselective pyridine C-H functionalization through a dearomatization/rearomatization sequence will be discussed. The dearomatized oxazino pyridines can be…
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8月6日
PhD in Chemistry - Kinetic and Structural Investigation on Mechanism-Based Inhibition of the Essential Thiamine-Dependent Enzyme in Vitamin K2 Biosynthesis
Candidate: Mr. LI, Tin Lok
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8月6日
其他活動形式
PhD in Chemistry - Kinetic and Structural Investigation on Mechanism-Based Inhibition of the Essential Thiamine-Dependent Enzyme in Vitamin K2 Biosynthesis
Candidate: Mr. LI, Tin Lok
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7月30日
研討會, 演講, 講座
CHEM - PhD Student Seminar - Symmetry Breaking Effect Beyond Molecular Level: from Achial Molecules
Student: Mr. Wenjie WU Department: Department of Chemistry, HKUST Supervisor: Professor Benzhong TANG
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7月30日
PhD in Chemistry - Elucidating Molecular Mechanism of Functional Conformational Change of Protein through Molecular Dynamics Simulations and Markov State Model
Candidate: Miss Xiaowei WANG Department: Department of Chemistry, HKUST
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7月29日
研討會, 演講, 講座
CHEM - PhD Student Seminar - Circularly Polarized Light from Organic Materials
Student: Miss Michidmaa KHORLOO Department: Department of Chemistry, HKUST Supervisor: Professor Benzhong TANG
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7月29日
研討會, 演講, 講座
CHEM - PhD Student Seminar - Recent Progress of NIR-II Fluorescent Materials for Bioapplications
Student: Miss Wenhan XU Department: Department of Chemistry, HKUST Supervisor: Professor Benzhong TANG
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7月27日
PhD in Chemistry - Charge Transport Study and Device Fabrication for Efficient Non-Fullerene Based Indoor Organic Solar Cells
Candidate: Mr. Lik Kuen MA Department: Department of Chemistry, HKUST
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7月24日
研討會, 演講, 講座
MATH - Seminar on Statistics and Data Science - Generalization error of linearized neural networks: staircase and double-descent
Deep learning methods operate in regimes that defy the traditional statistical mindset.
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