Radiofrequency, Optics and Electro-
magnetics

Shape can become an essential component of the CAE toolchain, from the electrification of vehicles to IT hardware simulation.

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NC SHAPE APPLICATION IN ELECTROMAGNETICS

Shape can handle outputs from EM solvers in order to train Neural Networks models. Once the models are trained, predictions can be made directly from a CAD design from design parameters.

Shape can handle outputs from ANSYS, Maxwell, or CST from Simulia, for training Neural Network models. Once the models are trained, predictions can be made directly from a CAD design, or from design parameters.

Compatible with the main EM and RF simulation tools.
Design of electronic components

DESIGN OF ELECTRONIC COMPONENTS

Electromagnetic simulations are key to the electrification of vehicles and IT hardware simulation.

Shape can become an essential component of your CAE toolchain in these domains for the design of electronic components.

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Fatigie and contact issues considered along with fast simulation

ADVANCED AND REFINED SHAPES

Optimize the electric powertrain with the optimization module.

The optimization module within Shape has the flexibility to produce shapes as advanced and refined as you would obtain with a standard topology optimizer, but does not restrain the application field to fast, simple, linear simulation. We can take into account fatigue or contact issues.

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