| LLM-assisted agentic workflow for silicon photonic design automation | |
|---|---|
| 學年 | 115 |
| 學期 | 1 |
| 出版(發表)日期 | 2026-09-21 |
| 作品名稱 | LLM-assisted agentic workflow for silicon photonic design automation |
| 作品名稱(其他語言) | |
| 著者 | Lungwei Chung |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Optics Express 34(19), 34999–35014 (2026). |
| 摘要 | Silicon photonic design requires layout generation, simulation, interpretation, and verification across multiple tools, resulting in fragmented workflows that depend on expert operation and limit reproducibility. We present a tool-grounded, rule-guarded large language model (LLM) framework integrating domain knowledge, task parsing, tool invocation, workflow orchestration, and database checking. Starting from a LangChain-style A-flow, we develop an enhanced B-flow through deterministic execution and orchestration. Experiments comparing key system inputs with outputs show that constraining the LLM within a structured workflow improves execution reliability and substantially reduces token consumption. The enhanced B-flow provides a blueprint for model context protocol (MCP) services, enabling cross-client tool interoperability. |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI Scopus |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129871 ) |
| SDGS | 消除貧窮,永續城市與社區,消除飢餓,良好健康和福祉,優質教育,潔淨水與衛生,可負擔的潔淨能源,尊嚴就業與經濟發展,產業創新與基礎設施 |