Abstract
In this work, we introduce what we believe is a novel approach for AI-enabled synthesis of complex RF-to-THz passive components and circuits. Beyond enabling rapid and fully automated design of advanced microelectronic chips, the proposed methodology expands the design landscape to encompass non-intuitive circuit architectures that surpass traditional human-driven paradigms. By moving away from manual, labor-intensive workflows, our framework paves the way for a new era in RFIC and electromagnetic design.
| Original language | English (US) |
|---|---|
| Pages (from-to) | F55-F58 |
| Journal | Applied Optics |
| Volume | 64 |
| Issue number | 30 |
| DOIs | |
| State | Published - Oct 20 2025 |
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics
- Engineering (miscellaneous)
- Electrical and Electronic Engineering