Startseite – Project ERC COTOFLEXI – Leibniz Universität Hannover

Project ERC COTOFLEXI

“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

20th November 2024

AI4PDEs: Transforming Computational Mechanics

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

Aktuelle Seminare

CSST Group Seminar 12.11.2024

CSST Group Seminar 05.11.2024

CSST Group Seminar 29.10.2024

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Last Change: 11.09.24