most citedInvestigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data

1 citations · 1 across the 1 of their papers we have counts for

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cs.LG2022★ 1 cited

Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data

Philip Heger, Markus Full, Daniel Hilger +1

The placement of temperature sensitive and safety-critical components is crucial in the automotive industry. It is therefore inevitable, even at the design stage of new vehicles th…