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LLM orchestrates design of silicon-on-insulator directional couplers

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM orchestrates design of silicon-on-insulator directional couplers

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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]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Md Tauhidul Islam ·

    An LLM-Orchestrated Agent for Directional-Coupler Design with Self-Consistent Eigenmode and FDTD Validation

    We present a design agent which is a Large Language Model (LLM) that orchestrates, but does not perform, the numerical simulations to design a silicon-on-insulator (SOI) $2\times2$ directional coupler. We choose a symmetric phase-matched coupler where a lot of analytical results …

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