VCSEL, AR coatings, OLED efficiency, solar-cell Jsc, and beyond — from precise prediction to automatic layer synthesis, leave it all to 
/ˈfeɪzɪk/ and focus on innovation.
Most tools make you trade off — a stable engine or a friendly one, thin-film or OLED, design or measurement fitting. Phazic refuses the trade-off. Here is what actually sets it apart.
Reach out anytime — Phazic puts your needs first.
Phazic runs on a Redheffer S-matrix, not a textbook transfer matrix. Thick metal electrodes, deep Bragg mirrors, high-angle OLED emission (high‑k∥) and surface plasmons stay finite and accurate — right where naive TMM tools overflow into NaNs.
Add or delete a layer with a single click, drag to reorder, and group layers of the same type together. Copy & paste is effortless — and every result exports freely, as an image or as a data file.
Never start from a blank screen. One click loads a realistic, editable stack — from AR coatings and Bragg mirrors to VCSELs, Tamm / ENZ plasmonics, bandpass filters, perovskite tandems and thermophotovoltaics.
Plane-wave optics, OLED dipole emission, solar-cell absorption and automatic optimization all share the same materials and stack. You switch tabs — not software.
Needle + Tunneling does not only tune thickness — it inserts and removes layers automatically, discovering how many layers your target spectrum actually needs.
Recover thickness and (n, k) from measured Ψ·Δ — multi-angle joint fit, eleven dispersion models, Kramers–Kronig checked. Usually this is sold as a separate commercial package.
Phazic models the emitter as an oscillating dipole in the cavity (Chance–Prock–Silbey / Furno) — capturing microcavity interference, the Purcell factor, and the AIR / SUB / WG / SPP / HOST channel split that a plain geometric escape-cone estimate misses. It reports OCE both ways, so a dipole result above the geometric bound flags a well-tuned cavity.
Stacked 3-EU RGB white OLEDs with per-EU OCE breakdown via charge-generation layers, plus 2T / 4T perovskite-on-silicon tandem solar cells with current-matching and multi-junction Shockley–Queisser limits — all on the same numerically stable engine.
Define a multilayer thin-film stack once — and use it across every module: R / T / A analysis, admittance diagram, dispersion (Phase / GD / GDD / TOD), spectroscopic ellipsometry, OLED efficiency, solar-cell Jsc, and automatic optimization.
R / T / A spectra & ellipsometry
When light meets a thin film — compute how much is reflected, transmitted, and absorbed as a function of wavelength and incidence angle, and invert measured Ψ·Δ back to thickness and dispersion (n, k).
FOROptical thin-film engineers · display / OLED / solar design teams · ellipsometry analysts · semiconductor metrology
OLED dipole-emission simulation · Tandem OLED · OCE
Analyze how much of the light an OLED generates escapes to the outside — and where the rest is lost, broken down channel by channel.
FORDisplay manufacturers · OLED R&D · dipole-orientation research · microcavity design
Perovskite / Si tandem solar cell · Jsc · SQ limit
Under the ASTM G-173 AM1.5g standard, analyze the optical upper bound of absorption, Jsc, and η layer by layer.
FORPerovskite / Si / CIGS / GaAs PV design · tandem-cell R&D · EQE measurement analysis
Advanced multi-target · angle-robust optimization
Combine many objectives (R / T / A · Ψ / Δ · phase dispersion · color · Jsc · OCE · thickness) with weights and operators (=/≤/≥) into a single merit (RMS / worst-case) and optimize them simultaneously — three stages of Exploration → Local Refinement → Synthesis, 8 algorithms × multi-start. Needle-Tunneling even synthesizes new layers.
FOROptical-coating designers · display-efficiency engineers · PV design automation · new-material film sweeps
Phazic is not a single tool — it aims to be a unified operating system for the whole of optical engineering. From lab measurement to production-line decisions, from one researcher to a team of 100, every workflow connects on the same layer stack.
Measure → analyze → optimize → validate in one environment
The same star-product core generalizes to periodic structures (RCWA — gratings & metasurfaces) and anisotropic media (Berreman 4×4) — beyond 1D films into 2D/3D
Machine learning (ML) will accelerate the search space atop the physics-based engine
Generalize the S-matrix with permittivity ε & permeability μ — magnetic radar-absorbing materials (RAM) and stealth
