Publication outline¶
Working title: Inverse design of open nanophotonic cavities through differentiable mode expansions
Target: physics.optics primary, cross-listed physics.comp-ph and quant-ph. Two-column main text (~11 pages including references), self-contained supplement (~37 pages).
Main manuscript — as drafted¶
| § | File | Content |
|---|---|---|
| — | 00_abstract |
Construction, two devices, the direction-vs-magnitude result, ringdown conditions stated in-line |
| 1 | 01_introduction |
Positioning against differentiable GME: real-frequency periodic slab → complex-frequency finite open cavity; four numbered contributions |
| 2 | 02_method |
Conventions; exact parameterized dielectric; outgoing Lippmann–Schwinger and det_reg; guided-plus-continuum Green tensor; Sommerfeld contour; Zernike–Legendre basis; assembled operator |
| 3 | 03_gradient |
Implicit pole derivative, cost, Hadamard boundary form, mode-identity ranking, Sobolev metric |
| 4 | 04_validation |
Operator gates; ringdown-adequacy table; predeclared panel table; the required run-time amendment |
| 5 | 05_quan_loncar |
Device I as a result: local-refinement regime, quantified; matched 24 ps gain with its ringdown condition |
| 6 | 06_design23 |
Device II as a result: feed-pole subtraction; 105-step trajectory; geometric restructuring; blueshift and V_eff; excluded step 70 |
| 7 | 07_fidelity |
The central result. Bias drift 0.472 → 12.31 within one trajectory; Spearman 0.911 within a fixed protocol; per-step sign agreement explicitly not claimed |
| 8 | 08_discussion |
Consequences for how reduced open-system models should be used; what is not established |
| 9–11 | 09_methods, 10_data_code, 11_acknowledgments |
Short back matter |
Five figures: method schematic, Quan geometry, geometry profiles (both devices), Design23 geometry, Design23 trajectory panels, surrogate fidelity.
Supplementary Information — as drafted¶
Theory (S1–S13), self-contained and in one notation. S1 scope, notation, claim ledger · S2 conventions, QNM normalization, log-Q objective · S3 exact parameterized dielectric and analytic derivatives · S4 outgoing integral equation and the regularized determinant · S5 homogeneous reference Green tensor · S6 stratified reference: Fresnel recursion, Wronskian kernels, Dyson strip · S7 Sommerfeld contour, branch topology, panelized quadrature and its failure modes · S8 Zernike–Legendre aperture basis and projection · S9 symmetry reduction and finite-array assembly · S10 feed-pole extraction and residues · S11 continuation, pole search, mode identity · S12 pole and Q derivatives, reverse mode, Hadamard form, trust ladder · S13 optimizer, trust region, acceptance gates.
Evidence (S14–S19). S14 analytical convergence and gradient validation, with the audited value table · S15 FDTD protocol, ringdown audit, predeclared panel and its amendment · S16 Quan campaign in full, including the Fryett lineage caution · S17 Design23 campaign, full 33-point trajectory table, geometry metrics · S18 rejected approximations and failures, including the flat direction that the pre-repair operator scored as a 3.6× gain · S19 reproducibility and the SI-section-to-derivation-phase provenance map.
Narrative rule¶
The exceptional result is not "the analytical solver predicts the exact FDTD Q" — it demonstrably does not, and the paper quantifies by how much. It is that a fast, structured open-system model supplies ascent directions that an independent solver confirms at trajectory scale in two distinct physical settings, while its absolute linewidth drifts by more than an order of magnitude along the very trajectory it is driving. Every draft must protect that distinction.
Numbers¶
No number is typed into the LaTeX. analysis/export_values.py writes
manuscript/values.tex (193 macros) and analysis/export_tables.py writes
manuscript/tables/*.tex, both from JSON under results/. When the panel
replaces a provisional endpoint, the JSON changes and the prose does not.