News

Special article in "Zeit"

A special article (in German) has appeared in the journal "Die Zeit" commemorating the reopening of the Johannes Gutenberg-University 75 years ago. M³ODEL and its interdisciplinary research on computational modeling has been highlighted as one of the major focus areas of the university to be developed further.

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BINARY Partner started in March 2020

The project Big Data in Atmospheric Physics (BINARY) will tackle relevant scientific questions in atmospheric physics applying modern machine learning techniques.

BINARY officially started on March 2020 and has held regular activities ever since, such as a monthly seminar and an autumn school. The plans for 2021 include an annual meeting in March, in which PhD candidates will present their research progress, and a mini-workshop on Differential Equations for Machine Learning, most likely in late spring/early summer.

You can visit BINARY's website to learn more at https://binary.uni-mainz.de.

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Dies Legendi Lecture by Evangelos Moulas

The M3ODEL PI Evangelos Moulas will soon give his introductory lecture Dies Legendi as Junior Professor of the Faculty of Chemistry, Pharmacy, Geography and Geosciences.

His talk is called “The multiscale character of metamorphic processes” and will take place on Monday October 19th at 10:45.

You can find the full schedule and information on how to log in here.

 

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ECHELON is granted funding by the Carl Zeiss Foundation!

We are pleased to announce that the Carl Zeiss Foundation just granted funding to ECHELON, a project led by Prof. Siegfried Waldvogel. At the core of ECHELON is the idea to convert biomass to high-grade chemicals useful for the pharmaceutical or paper industry, for example, through an environmentally friendly process. To have a full understanding of this process at all levels (i.e., experimental and theoretical), researchers will combine quantum chemistry with multiscale modeling, therefore strengthening the connection between the teams of SusUnnoScience and M3ODEL, two of the top-level research areas of JGU.

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