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.

FIND AND ORIENTATE

Concept

Team COTOFLEXI

Contact

Field of Study

Aktuelle Meldungen

26th March 2026

New paper on the arxive: Giant Brillouin gain in frozen CS2 capillaries

Eine neue Generation von Faserlasern

12th February 2026

Machine learning-assisted first-principles study of structural, electronic, optical, thermal, and mechanical properties of novel s-triazine-based organic framework monolayers

Last Change: 26.02.26