AMEM

A python script that describes the steps to determine the physical parameters to be applied for the generation of unstructured and adapted meshes for electromagnetic modeling.

Institution:

Research Group:

BSC Group: CASE

Researcher/s:

Octavio Castillo

Description:

AMEM is a Python workflow that calculates the physical parameters required to build adaptively refined, unstructured meshes for 3-D electromagnetic modelling. Such meshes are the foundation of accurate, large-scale EM digital twins used in antenna design, power-electronics packaging, and radar scattering studies.

Automating adaptive-mesh parameter selection removes a labour-intensive bottleneck in EM simulation, letting engineering teams reach converged, physics-grade results faster and with fewer HPC core-hours.

Value Proposition:

Automates adaptive meshes, trimming turnaround for large-scale EM analyses

Aplication areas:

Antenna & RF component design, radar cross-section studies, power-electronics packaging, PCB signal-integrity, wireless-charging coils, goephysical EM surveying.

Target market:

Aerospace & defense RF teams; Telecommunications OEMs; Semiconductor packaging houses; Automotive radar suppliers; Geophysical service providers; Academic EM groups.

Protection:

Under progress

More information

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