Machine Learning for Materials Design
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Funding from Helmholtz AI

funding
Published

June 15, 2021

Image for Funding from Helmholtz AI

We received funding from the Helmholtz Association’s Artificial Intelligence Cooperation Unit (Helmholtz AI) for our project Machine-learning based synthetic data generation for rapid physics modeling (SynRap). In collaboration with the Deutsches Elektronen-Synchrotron (DESY, Hamburg), we will investigate whether data on the behavior of physical systems can be generated more quickly using neural networks in the form of so-called synthetic data. Our project was selected for funding through a competitive process. The fifteen winning teams will receive a total of 6.2 million euros over the next few years to carry out their projects.

Read more about this in the press release.

 

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