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20162025
most citedArtificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control

572 citations · 804 across the 24 of their papers we have counts for

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math.OC2022

Investigating molecular transport in the human brain from MRI with physics-informed neural networks

Bastian Zapf, Johannes Haubner, Miroslav Kuchta +3

In recent years, a plethora of methods combining deep neural networks and partial differential equations have been developed. A widely known and popular example are physics-informe…