An effective approach is presented for simulation of thin resistive sheets in FDTD. The approach is based on surface impedance and piecewise linear recursive convolution technique. This approach can be combined with a conformal scheme so that it can be applied to deal with an arbitrarily shaped thin sheet. The simulation results for a couple of examples have shown that the approach is robust, stable and quite accurate.
Publications
Explore how uncertainty quantification improves EM simulation by accounting for real-world variability and providing more reliable design insights.
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Publications
Explore a physics-informed neural network (PINN) formulation for time-domain Maxwell’s equations using split-field perfectly matched layers (PMLs), validated against analytical and FDTD solutions for open-domain electromagnetic simulations.
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Videos
Explore this presentation featuring an automated XFdtd® and Wireless InSite® workflow for scalable RF digital twin validation, AI/ML dataset generation, and realistic channel modeling across complex wireless environments.
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