240 citations · 476 across the 5 of their papers we have counts for
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cs.LG2022★ 16 cited
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data
David Anton, Henning Wessels
The identification of material parameters occurring in constitutive models has a wide range of applications in practice. One of these applications is the monitoring and assessment…
cs.LG2021★ 240 cited
Physics informed neural networks for continuum micromechanics
Alexander Henkes, Henning Wessels, Rolf Mahnken
Recently, physics informed neural networks have successfully been applied to a broad variety of problems in applied mathematics and engineering. The principle idea is to use a neur…