Considerable advancement has been witnessed in the development of semiconducting metal-halide perovskites (MHPs) for the past 20 years.
Photonics has attracted a lot of attention in the recent decade because of its potential for producing functioning devices in the near-infrared (NIR) and mid-infrared (MIR) wavelength ranges.
Confirmed by the annual study of the latest index of best companies conducted by the University of St. Gallen.
Marktech Optoelectronics, Inc. (www.marktechopto.com)(Marktech), a privately-held leading designer and manufacturer of standard and custom optoelectronics, including UV, visible, near-infrared (NIR), and short-wavelength infrared (SWIR) emitters, detectors, InP epi wafers, and other compound semiconductors, today revealed their latest lineup of advanced Indium Gallium Arsenide (InGaAs) photodiode photodetectors.
Leading laser manufacturer Luxinar is kicking off its 25th anniversary year by showcasing products from its ranges of ultrashort pulse and CO2 laser sources at booth #5101 at Photonics West, taking place in San Francisco, USA 28 January to 2 February 2023.
How quickly do electrons within a molecule travel? It is extremely quick, about a few attoseconds (1 as = 10–18 seconds or one billionth of a billionth of a second) to move from one atom to the next.
Culminating years of research and development, Octave Photonics announces the release of the Comb-Offset Stabilization Module (COSMO), which provides a compact, convenient, and rugged solution for f-2f self-referencing a laser frequency comb.
Numerous photochemical processes depend on UV light from ineffective or unsafe light sources that the LED technology would find hard to substitute due to certain technical aspects.
Perhaps one of the most significant technological advancements underpinning the current information society is the possibility to accomplish quantum-limited amplification of optical signals enclosed in optical fibers.
An optical chip has been developed by a multi-institution research group that has the potential to train machine learning hardware.