PHD in Mechanical Engineering - Deep-Neural-Network Approaches to Deconvolve Distribution Functions of Relaxation Times from Electrochemical Impedance Spectroscopy Data

Name: PHD in Mechanical Engineering - Deep-Neural-Network Approaches to Deconvolve Distribution Functions of Relaxation Times from Electrochemical Impedance Spectroscopy Data
Start: 2023-01-16
End: 2023-01-16

2023 年 1 月 16 日

4:30pm - 7:30pm

Rm 2550 + Rm 2551 (Lifts 27-28), 2/F, HKUST

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：

活動形式

論文答辯

候選人

QUATTROCCHI, Emanuele

語言

英文