Towards a universal meta-optics solver via large language models

arXiv:2608.26417 · physics.optics, cs.LG · Submitted 2026-08-26 · Read on arXiv

physics.optics, cs.LG

Submitted: 2026-08-26

Updated: 2026-08-26

Comments: Accepted for publication in Nano Letters

Code: https://github.com/zhanghsh9/MultipleShapeLLM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Inverse Design — 16× in this paper · explained in 2 episodes
• Fine-Tuning — 14× in this paper · explained in 5 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Agentic Framework — 4× in this paper · explained in 6 episodes
• Transfer Learning — 3× in this paper · explained in 10 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Forward modeling — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design

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