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Publications
The Importance of Uncertainty Quantification in EM Simulations
Explore how uncertainty quantification improves EM simulation by accounting for real-world variability and providing more reliable design insights.
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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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