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Article Overview

Latest Research
July 15, 2022 Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz

Fusing Physical Knowledge with Neural Networks’ Flexibility

Diffusion processes in nature are highly complex, and scientists strive to understand them in detail. With a new physics-aware neural network, we were able to model and predict such processes much more precisely than previously possible.
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Latest Research
January 21, 2022 Linda Behringer, Maximilian Dax, Elke Müller

Machine Learning Decodes Tremors of the Universe

Researchers train a neural network to estimate – in just a few seconds – the precise characteristics of merging black holes based on their gravitational-wave emissions. The network determines the masses and spins of the black holes, where in the sky, at what angle, and how far away from Earth the merger took place.
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