Microstrip Patch Antenna Surrogate Model
Application ID: 143921
This example builds surrogate models with deep neural network (DNN) training to quickly estimate the performance of a microstrip patch antenna based on four design parameters: patch length, tuning stub length, dielectric constant of a substrate, and frequency. The model also simulates a full finite element (FEM) model using asymptotic waveform evaluation of the computed S-parameters to efficiently evaluate the frequency response with fine frequency resolution. This approach can be much faster than a conventional discrete frequency sweep, which may take a long time due to the large number of samples. The full model is used to verify the accuracy of the surrogate models.
This model example illustrates applications of this type that would nominally be built using the following products:
however, additional products may be required to completely define and model it. Furthermore, this example may also be defined and modeled using components from the following product combinations:
The combination of COMSOL® products required to model your application depends on several factors and may include boundary conditions, material properties, physics interfaces, and part libraries. Particular functionality may be common to several products. To determine the right combination of products for your modeling needs, review the Tabella delle Funzionalità and make use of a free evaluation license. The COMSOL Sales and Support teams are available for answering any questions you may have regarding this.