New-Tech Europe | Q3 2026 | Digital Edition

Is RF Design Ready for Its Biggest Methodological Shift in Decades?

by New-Tech Magazine Group

A Princeton University research project suggests that future RF components may no longer be designed by refining existing geometries, but by defining the desired performance first and allowing AI-assisted algorithms to discover entirely new solutions.

iterations until it meets the required specifications. A research programme led by Professor Kaushik Sengupta at Princeton University, recently highlighted by IEEE Spectrum, challenges this long-established workflow. Rather than starting with the physical structure of a component, the researchers propose reversing the process: first define the desired electrical performance, then allow computational algorithms to search for the geometry capable of achieving it. Known as Inverse Design, the approach represents more than another optimisation technique. It questions one of the basic assumptions behind RF engineering: that the physical structure must always be the starting point of the design process. As RF systems continue to grow in complexity, this seemingly subtle change could have profound implications. From Geometry to Performance Traditional RF development follows a familiar path. Engineers select an architecture, define an initial layout, perform electromagnetic simulations, evaluate the results and repeat the process-sometimes dozens or even hundreds of times. The methodology has produced generations of successful amplifiers, filters, antennas and RF integrated circuits. However, it also assumes that designers already have a

For decades, progress in RF and microwave engineering has been driven by better semiconductor technologies, more advanced manufacturing processes, increasingly accurate electromagnetic simulations and ever-growing computing power. Yet despite these advances, the fundamental design methodology has remained largely unchanged. Engineers typically begin with a known circuit topology or physical geometry, simulate its behaviour, analyse the results and gradually refine the design through multiple

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