Researchers have developed a Large Language Model (LLM) agent capable of orchestrating the design of silicon-on-insulator (SOI) directional couplers. This agent proposes geometrical dimensions and judges convergence, while relying on deterministic solvers for the actual physics calculations. A frequency-domain eigenmode solver determines the coupling coefficient, and a Finite-Difference Time-Domain (FDTD) stage validates the design, ensuring consistency within a 2D effective-index model. The LLM successfully delivered a 50/50 splitter with a minimal residual error. AI
IMPACT Demonstrates LLMs' potential to automate complex scientific design tasks, potentially accelerating innovation in optics and photonics.
RANK_REASON The cluster contains an academic paper detailing a novel application of LLMs in a scientific design process. [lever_c_demoted from research: ic=1 ai=1.0]
- 2D computer graphics
- eigenmode solver
- finite-difference time-domain method
- large language model
- power dividers and directional couplers
- silicon on insulator
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