Antenna design is one application of Source Sequence's Physics-Grounded AI — and our first open-source proof of it.
YAF applies Source Sequence's Physics-Grounded AI to one hard problem — antenna design: real electromagnetic solvers in the loop with AI optimization, open-sourced as proof the approach works.
For decades, antennas have been static—fixed shapes radiating fixed patterns. We believe that as wireless systems enter the 6G era, the physical layer itself must become intelligent, adaptive, and software-defined.
An antenna where every radiating point is placed by an algorithm.
The YAF effort runs a lean wireless lab in Hangzhou — in-house prototyping, EM simulation, open hardware, and university partnerships.
Real benches, real measurements, real fabrication. The lab behind the work — not a stock photo set.




Why we believe the physical layer of wireless communication is the next frontier for AI—and why the 6G era requires us to rebuild radio systems from first principles.
Read the essay