Machine learning and data-driven electromagnetic synthesis are proposed as a complementary framework to traditional methods in microwave and RFIC education for handling millimeter-wave and terahertz designs.
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From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning
Machine learning and data-driven electromagnetic synthesis are proposed as a complementary framework to traditional methods in microwave and RFIC education for handling millimeter-wave and terahertz designs.