Layer 1 of 4

Physical & Simulation

Device-level physics, electromagnetic field simulation, quantum mechanics, photonic resonator design — the foundation of the stack. These projects are closest to the physics.

Layer philosophy: Physics constrains everything else. Before a photonic device can be fabricated, before a plasmonic waveguide can carry a signal, before a quantum well can emit light — the electromagnetic behaviour must be understood quantitatively. These projects are all simulations and numerical models: FDTD solvers, k·p Hamiltonians, wave-optics propagation engines. They produce no hardware, but they produce understanding.

Projects in this Layer

D2NN
Physical

D2NN Physical Feasibility Evaluator

Angular Spectrum Method propagation engine with five quantitative physical checks — band-limit, energy conservation, photon budget, SNR, Monte Carlo fabrication tolerance. Bridges the gap between trained simulation and fabricable device.

PythonASMWave OpticsMonte Carlo
SWG-MMI Mode Demultiplexer
Physical

SWG-MMI Mode Demultiplexer

Analytical simulation of a broadband SOI mode demultiplexer — EMT, EIM, MMI self-imaging, full 2D field reconstruction across 1.40–1.70 µm. Validated against Lumerical FDTD; scripts available upon request.

PythonSilicon PhotonicsMMIEMT / EIM
BIC Sensor
Physical

BIC Photonic Cell Sensor

Bound-state-in-the-continuum Si nanocube resonator (Q > 1000) for label-free cancer vs. non-cancer cell detection. Full pipeline: FTIR → Kramers–Kronig → COMSOL FDTD → PCA+SVM classifier. Exploits the unique linewidth of qBIC modes for refractive-index sensing.

COMSOLBIC/qBICPythonSVM
Plasmonics
Physical

FDTD Active Plasmonics

Semiclassical Maxwell-Bloch FDTD solver for gain-modulated plasmonic structures. Lorentz-Drude gold model + optical Bloch equations. Simulates MSM waveguides and microcavities; ~60% resonance amplitude increase with nanoparticle-enhanced gain.

FDTDMaxwell-BlochPlasmonicsMATLAB
Slavcheva FDTD
Physical

Slavcheva Maxwell-Bloch FDTD

Faithful, auditable reproduction of the Slavcheva et al. semiclassical FDTD framework. 1D Yee grid, Mur ABC, predictor-corrector Bloch integrator. Reproduces VCSEL gain saturation and lasing at 850 nm and 1.29 μm.

FDTDVCSELGain SaturationMATLAB
PhC Gates
Physical

Photonic Crystal All-Optical Logic Gates

COMSOL 2D PhC FDTD simulation of NOT, AND, OR gates at λ = 1.55 μm. Linear interference mechanism — no nonlinear material required. Based on Rani et al. 2015 geometry. Validates published transmission spectra and field distributions.

COMSOLPhCAll-Optical1.55 μm
Coupled QW
Physical

Coupled QW Valence Band

Luttinger-Kohn 4×4 Hamiltonian solver for GaAs/Al₀.₅Ga₀.₅As double quantum well (25 Å wells, 15 Å barrier, ΔE_v = 0.25 eV). HH/LH subband dispersion and Gaussian wavepacket dynamics. Demonstrates HH–LH anti-crossing and inter-well tunnelling.

k·p TheoryQWSemiconductorMATLAB