Daniel Hilger
Hat mitgewirkt an:
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Investigation of physics-informed deep learning for the prediction of parametric, three-dimensional flow based on boundary data
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Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
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Shape‐optimization of extrusion‐dies via parameterized physics‐informed neural networks
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Reduced-order modeling for plastics profile extrusion