Chat to chip: large language model based design of arbitrarily shaped metasurfaces.

ABSTRACT: Traditional metasurface design is limited by the computational cost of full-wave simulations, preventing thorough exploration of complex configurations. Data-driven approaches have emerged as a solution to this bottleneck, replacing costly simulations with rapid neural network evaluations and enabling near-instant design for meta-atoms. Despite advances, implementing a new optical function still requires building and training a task-specific network, along with exhaustive searches for suitable architectures and hyperparameters. Pre-trained large language models (LLMs), by contrast, sidestep this laborious process with a simple fine-tuning technique. However, applying LLMs to the design of nanophotonic devices, particularly for arbitrarily shaped metasurfaces, is still in its early stages;

SUBMITTER: Zhang H 

PROVIDER: S-EPMC12592791 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature