Machine Learning for Materials Design
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Funding from Helmholtz AI

funding

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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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