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“Adavnced Materials” published our first-principles multiscale model with machine learning
Our group is exploring the multiscale modeling and machine learning approach for finding, characterizing and designing new materials. We have recently established the first framework of first-principles multiscale modeling with machine learning, which has been accpted in ...
CSST Group photo with guests in the Online Seminar 17 May 2021
Our group seminar on 17 May 2021 started from 10:00 am by Zoom Online Meeting. The presentations are given by two invited researchers, Prof. Kailiang Xu from Fudan University and Prof. Yabin Jin from Tongji University.
Prof. Zhuang leading ERC Starting Grant COTOFLEXI
"The aim of COTOFLEXI (Computational Modelling Topological Optimization and Design of Flexoelectric Energy Harvester) is to develop a computational framework to support the characterization, design, virtual testing and optimization of the next generation nano energy harvesters."
DACOMA online lecture was hold on September 26 2020
DACOMA ( International Conference on Data Driven Computing and Machine Learning in Engineering, dacoma.org.cn) conference series aim at promoting research and application in big data analysis, data driving computing and artificial intelligence in engineering.
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Aktuelle News
31st October 2024
Scientific machine learning: Kolmogorov–Arnold-Informed Neural Network (KINN) for solving PDEs
29th October 2024
Welcome to Our New Colleagues! + First Group Seminar Highlights
24th October 2024
Prof. Pengfei He from Tongji University Visited the Institute of Photonics at Leibniz University Hannover
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Aktuelle Seminare
29
Oct
29. Oct. 2024
| 10:00 - 11:30
seminar
CSST Group Seminar 29.10.2024
17
Jun
17. Jun. 2024
| 10:00 - 11:30
seminar
CSST Group Seminar 17.06.2024
10
Jun
10. Jun. 2024
| 13:09 - 11:30
seminar
CSST Group Seminar 10.06.2024
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