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20172025
most citedData-Driven Solvers for Strongly Nonlinear Material Response

32 citations · 98 across the 9 of their papers we have counts for

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physics.comp-ph2020★ 32 cited

Data-Driven Solvers for Strongly Nonlinear Material Response

Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem

This work presents a data-driven magnetostatic finite-element solver that is specifically well-suited to cope with strongly nonlinear material responses. The data-driven computing…

physics.comp-ph2020★ 28 cited

Magnetic Field Simulation with Data-Driven Material Modeling

Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion +2

This paper developes a data-driven magnetostatic finite-element (FE) solver which directly exploits measured material data instead of a material curve constructed from it. The dist…