A new review paper explores the integration of Large Language Models (LLMs) into the field of nanophotonics. The paper details how LLMs are moving beyond traditional neural networks by providing semantic interfaces, generating code, and orchestrating simulation tools. These models are being applied in two main ways: as surrogate models for structure-spectrum mapping and as agentic systems capable of autonomous optimization. The review also touches upon potential applications in related fields like materials science and wireless communications, envisioning future multimodal foundation models that could act as active collaborators in scientific discovery. AI
IMPACT LLMs are evolving from passive tools to active collaborators, potentially accelerating autonomous scientific discovery in fields like nanophotonics.
RANK_REASON The cluster contains a research paper detailing the application of LLMs in a scientific domain. [lever_c_demoted from research: ic=1 ai=1.0]
- artificial intelligence
- arXiv
- Large Language Models
- materials science
- Neural Networks
- Transformer-based Models
- wireless communication
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