Presentation Information

[C-12-40]AI-Assisted Compensation Capacitor Optimization of Operational Amplifiers

〇Ned Sureechainirun1, Wenqian Wang1, Nabil Soliman1, Yuncheng Zhang1, Kenichi Okada1 (1. Institute of Science Tokyo)

Keywords:

Operational Amplifier,Circuit Optimization,Artificial Intelligence,Large Language Model

Artificial intelligence (AI) and large language models (LLMs) have emerged as powerful automation tools in circuit design. This paper presents an automatic and AI-assisted optimization of Miller compensation capacitors in a simple 2-stage operational amplifier (op-amp). The result shows that the LLM-based AI agent can be used for automatic circuit optimization, provided clear instructions are given.