Ultra-wideband integrated photonic devices on silicon platform: from visible to mid-IR
Silicon photonics has gained great success mainly due to the promise of realizing compact devices in high volume through the low-cost foundry model. It is burgeoning from laboratory research into commercial production endeavors such as datacom and telecom. …
Advances in silicon-based, integrated tunable semiconductor lasers
Tunable semiconductor lasers have many important applications such as wavelength division multiplexing, light detection and ranging, and gas detection. The increased interest in silicon photonics has led to the rapid development of miniaturized on-chip …
Scalable fabrication of self-assembled GeSn vertical nanowires for nanophotonic applications
In this work, scalable fabrication of self-assembled GeSn vertical nanowires (NWs) based on rapid thermal annealing (RTA) and inductively coupled-plasma (ICP) dry etching was proposed. After thermal treatment of molecular-beam-epitaxy-grown GeSn, …
On-demand continuous-variable quantum entanglement source for integrated circuits
Integration of devices generating non-classical states (such as entanglement) into photonic circuits is one of the major goals in achieving integrated quantum circuits (IQCs). This is demonstrated successfully in recent decades. Controlling the …
Electrically tunable conducting oxide metasurfaces for high power applications
Active metasurfaces designed to operate at optical frequencies are flat optical elements that can dynamic, subwavelength-scale wavefront control of reflected or transmitted light. The practical and fundamental power-handling limits of active metasurfaces at …
High-harmonic generation from artificially stacked 2D crystals
We report a coherent layer-by-layer build-up of high-order harmonic generation (HHG) in artificially stacked transition metal dichalcogenides (TMDC) crystals in their various stacking configurations. In the experiments, millimeter-sized single crystalline …
Singular states of resonant nanophotonic lattices
Fundamental effects in nanophotonic resonance systems focused on singular states and their properties are presented. Strongly related to lattice geometry and material composition, there appear resonant bright channels and non-resonant dark channels in the …
Surface plasmon mediated harmonically resonant effects on third harmonic generation from Au and CuS nanoparticle films
A growing class of nonlinear materials employ the localized surface plasmonic resonance (LSPR) of nanoparticles to enhance harmonic generation. Material systems containing harmonically coupled metallic and semiconductor plasmonic nanoparticles have been shown …
Large-scale metagrating complex-based light field 3D display with space-variant resolution for non-uniform distribution of information and energy
Glasses-free three-dimensional (3D) display has attracted wide interest for providing stereoscopic virtual contents with depth cues. However, how to achieve high spatial and angular resolution while keeping ultrawide field of view (FOV) remains a significant …
Sub-wavelength visualization of near-field scattering mode of plasmonic nano-cavity in the far-field
Spatial visualization of mode distribution of light scattering from plasmonic nanostructures is of vital importance for understanding the scattering mechanism and applications based on these plasmonic nanostructures. A long unanswered question in how the …
Bio-inspired building blocks for all-organic metamaterials from visible to near-infrared
Light-harvesting complexes in natural photosynthetic systems, such as those in purple bacteria, consist of photo-reactive chromophores embedded in densely packed “antenna” systems organized in well-defined nanostructures. In the case of purple bacteria, …
Deep reinforcement learning empowers automated inverse design and optimization of photonic crystals for nanoscale laser cavities
Photonics inverse design relies on human experts to search for a design topology that satisfies certain optical specifications with their experience and intuitions, which is relatively labor-intensive, slow, and sub-optimal. Machine learning has emerged as a …