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Publications
Physics-Informed Neural Networks for the Time-Domain Maxwell Equations with Split-Field Perfectly Matched Layers
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
RF Wireless System Digital Twins and Automation for AI
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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Application Examples
60 GHz Phased Array Antenna Design and Beamforming Analysis Using XFdtd
In this example, explore a 60 GHz phased array antenna design using XFdtd, featuring full-wave FDTD simulation, beamforming optimization, and EIRP coverage analysis for WiGig applications.
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Determining the final set of component values in a matching network can be a challenging process. At higher frequencies, especially VHF and above, significant EM effects on the real circuit (inter-connection transmission line effects and coupling between the antenna being tuned, other antennas, and other parts of the structure) are difficult to quantify and account for in circuit schematic simulators alone.