This paper provides an overview of the recent advances of electromagnetic (EM) centric multiphysics parametric modeling for microwave components. Space mapping is used to combine the computational efficiency of EM single physics (EM only) simulation with the accuracy of the multiphysics simulation. Good modeling accuracy can be achieved with fewer multiphysics training data and less computational cost. The developed models can be further used to provide accurate and fast prediction of EM centric multiphysics responses with respect to the changes of design parameters within the training regions.

Additional Metadata
Keywords Artificial neural networks (ANNs), microwave component, multi-physics parametric modeling, space mapping
Persistent URL dx.doi.org/10.1109/NEMO.2019.8853671
Conference 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2019
Citation
Feng, F. (Feng), Zhang, W. (Wei), Zhang, J. (Jianan), Zhao, Z. (Zhihao), Jin, J. (Jing), & Zhang, Q.J. (2019). Recent Advances in EM Centric Multi-Physics Parametric Modeling. In 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2019. doi:10.1109/NEMO.2019.8853671