We present an overview of kriging benefits when dealing with optical simulations of non-coherent light emitting µLED. Such device is composed of quantum wells (QW) forming a surface embedded in high index material and connected by metallic electrodes. The traditional way to simulate such object is using FDTD with a discretized QW surface into multiple dipoles. It leads to tremendous computational effort when conducting a parameter space exploration in order to optimize the µLED optical behaviour. To diminish the required number of one-dipole simulations, we propose to build a metamodel using Bayesian inference with Gaussian process iteratively building a non-uniform dipole grid more adapted to the QW surface. Gaussian process inference also enables calculating an estimate of the final result’s error margin to provide a stopping criteria for the simulation : it allows to considerably reduce the number of simulations one theoretically needs to perform.

Using a model developed in Crosslight PICS3D, we have compared simulated gain and device performance for InAs/InP quantum dash ridge waveguide lasers with experimental data from fabricated devices. We investigated the change in device behaviour as the energy spectrum of the dashes is varied and inhomogeneous broadening is changed to represent a distribution of dash sizes and composition. We observed a distinct asymmetry of the dash layer occupation due to inefficient thermionic emission hindering hole transport across the quantum dash layer stack. We have quantified how this effect can be utilized to achieve higher threshold current temperature stability.

The use of index-patterned Fabry-Perot lasers, where a small number of slot-like features are introduced along the laser cavity, is well established as a route to low cost, reliable single-frequency devices. We use a Fourier-transform based inverse scattering method to show how a modified choice of inverse function can deliver a significant improvement in modal threshold gain selectivity and SMSR compared to the originally proposed use of a constant inverse function for slot selection. We propose that the approach used can deliver a high yield of devices, with emission wavelength at or close to a target wavelength.

The novel Group IV materials system germanium silicon tin (GeSiSn) promises a low-cost material alternative to conventional Group III-V and II-VI materials systems for extended shortwave infrared (SWIR) and even mid-wave and long-wave infrared applications. This materials system offers substantial advantages in terms of material cost, processing cost, and substrate size, allowing for the development of large arrays, with small pixels, at low cost. Here, we present the device models we have used for our development and an analysis of both individual diodes and a large area detector array, including initial imagery captured using the detector array hybridized to a commercially available readout integrated circuit.

Electro-absorption modulators operate based on the quantum-confined Stark effect (QCSE). In quantum well and existing quantum dot (QD) structures, the use of top and bottom contacts allows application of an electric field along the growth direction. In this work, we theoretically analyse the QCSE in QD structures, investigating whether a lateral field orientation provides an appreciable QCSE sufficient to implement lateral QD-EAMs suitable for integration in photonic integrated circuits. We focus on InAs/GaAs QD structures close to 1300 nm, showing how the dot dimensions and built-in piezoelectric potential impact the calculated absorption spectrum as a function of applied lateral field.

We present a nanoscopic investigation of the carrier transport into individual single InP quantum dots (QDs) of a membrane external-cavity surface-emitting laser structure (MECSEL) by means of highly spatially resolved cathodoluminescence spectroscopy directly performed in a scanning transmission electron microscope (STEM-CL). The lateral STEM-CL spectrum linescans across a single InP QD exhibit a characteristic change of excitonic transitions during this linescan. This gives direct access to the QD population by the generated excess carriers and the renormalization of the QD ground state while the electron beam approaches and subsequently recedes the QD position.

In this work, we present SuPyMode, a Python package for designing and optimizing the design of new fiber optic components. The software allows simulating the optical behavior of custom fiber optic structures and provides analysis tools based on coupled mode theory to retrieve insightful parameters, such as the adiabatic criterion. The library has been developed with an intuitive and easy-to-handle user interface linked to a C++ core for fast computation. The library also offers visualization tools for a comprehensive examination of the simulated results. SuPyMode has already successfully predicted improved design for newly developed 2- and 3-mode modally specific photonic lanterns.

Multimode fibers provide a promising platform to efficiently suppress Stimulated Brillouin Scattering (SBS) by controlling input excitation. We demonstrate SBS suppression can be formulated as a problem of optimization of the input power distribution among the fiber modes. We provide a method to obtain the optimal power distribution based on linear programming. The SBS growth rate depends linearly on the input power distribution, allowing us to map SBS suppression into a constrained linear optimization, solvable numerically. We show that for a highly multimode step index fiber, optimal input excitation gives 9.5 times higher SBS threshold compared to fundamental mode-only excitation.

Tunable color pixels have a variety of applications from displays to photonic signal routing and sensing. Here we will present our recent simulations and experiments on tunable color pixels created from multilayer metal-hydride systems, showing vivid color production with wavelength shifts >100 nm during hydrogenation of various alloys. We show how pure metal hydrides can be used as tunable photonic elements throughout the visible and near-infrared, how alloying can lead to higher hydrogen fractions because of film stresses and microstructuring, and how novel optical materials can be used as substrates to further enhance these effects.

Utilizing thin-film interference, one can engineer spectrally narrowband emission, transmission, or absorption for a multitude of applications. However, this usually comes at the cost of a strong angular dependence of the spectrum. Here, we showcase how ultra-strong light-matter coupling can be employed to remedy this strong dispersion and achieve a narrowband, angle-independent response. Coupling cavity photons to material excitons and fine-tuning the properties of the resulting exciton-polariton quasiparticle allows us to exchange the parabolic dispersion of the cavity photon for a flat, exciton-like dispersion. We demonstrate how this principle can be implemented in narrowband transmission filters, photodetectors and highly efficient organic light-emitting diodes.

The successful development of mid-infrared (2-5µm) lasers monolithically integrated with Si-based photonics opens a door to realization of low-cost smart optical gas sensors for environmental monitoring and control of industrial processes. We will discuss our recent results on interband cascade lasers emitting between 3 and 4 µm grown on silicon substrates demonstrating high tolerance of these devices to threading dislocations. The high performance of the developed lasers makes them a good candidate for use as light sources in silicon photonics.

This conference poster presentation was prepared for the Photonics West OPTO 2023 Symposium.

This conference poster presentation was prepared for the Photonics West OPTO 2023 Symposium.