SPECIAL SESSIONS
EMC Assessment and EMI Modelling for Electrical and
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Advanced EMC Design Based on Near-field Modeling and MetasurfaceCo-Chairs: The fast evolution of technologies in electronics, communication, wireless, material, artificial intelligence, and high performance computing provides better and more effective tools and solutions for scientific research and industry development. However, the electromagnetic environment and electromagnetic susceptibility of devices and systems become more complex and challenging than ever before. It demands innovations in the electromagnetic compatibility (EMC) design to tackle unwanted electromagnetic radiations and couplings in high-speed electronics and heterogeneous systems. This special session will address the scientific discoveries and cutting-edge technologies development in EMC by the invited researchers. The invited topics encompass but are not limited to modeling, simulation, and measurement by incorporating electromagnetic source reconstruction, metasurface and other advanced technologies to deal with the complicated electromagnetic interference (EMI) problems.
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Stochastic Simulation for EMC and Signal Integrity(Jointly Sponsored by TC-8 and TC-9) Co-Chairs: Many design challenges in EMC and Signal Integrity (SI) involve complexity and uncertainty that can only be quantified statistically. Reverberation chamber testing in EMC; bit error rate (BER) metric for SI and RMS delay spread in 5G wireless are examples. Stochastic simulation has recently evolved to provide the model-based design tools for these applications – and more. While stochastic simulation can take the form of Monte-Carlo perturbations of deterministic full wave models, newer formulations have developed more compact, statistically-reduced order models (ROM) that incorporate physical parameter-based probability density function models for the uncertainty bounds. These ROM models are typically based on wave physics or related basis functions that do not require numerical meshing. As a direct result, they solve orders of magnitude faster than full wave simulation; the predicted results are always a more realistic statistical distribution (eg. Max. Mean and Min.) and they offer a path forward for very high frequency applications at 100 GHz and beyond.
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