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Auto-design agent for a silicon lateral PN phase shifter. Uses Tidy3D CHARGE drift-diffusion + per-bias mode solver on a five-point reverse bias sweep, jointly minimizing VπL, junction capacitance, and propagation loss. design.py ships with the SiSCAP-style constant-doping baseline that reproduces FOM ≈ 2.74e-05 (VπL ≈ 1.82 V·cm, C ≈ 0.26 pF/mm). Adds tools/ harness for doping geometry builders, CHARGE simulation, mode-solve batching, FOM computation, and per-experiment journaling. simulate.py self-manages bookkeeping so no separate orchestrate.py. See README.md for the full design knobs and iter-1 baseline metrics. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Auto-design agent for a silicon lateral PN phase shifter (Tidy3D CHARGE + per-bias mode solve).
tools/harness: doping builders, CHARGE/mode batch, FOM, journalsimulate.pyself-manages bookkeeping (noorchestrate.py)