What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Optics
- Laser
Optoelectronics, Epitaxy, Optics, Metalorganic vapour phase epitaxy and Sapphire are his primary areas of study.
His Optoelectronics study combines topics in areas such as Quantum well and Laser.
Markus Weyers has researched Epitaxy in several fields, including Doping, Crystallography, Dislocation, Cathodoluminescence and Diffraction.
Markus Weyers interconnects Heterojunction, Surface reconstruction, Surface science, Heterojunction bipolar transistor and Ternary compound in the investigation of issues within Optics.
His Metalorganic vapour phase epitaxy research includes elements of Luminescence, Analytical chemistry, Chemical vapor deposition and Silicon.
His work carried out in the field of Sapphire brings together such families of science as Gallium nitride, Substrate and Optical microscope.
His most cited work include:
- Red Shift of Photoluminescence and Absorption in Dilute GaAsN Alloy Layers (598 citations)
- Advances in group III-nitride-based deep UV light-emitting diode technology (499 citations)
- Application of GaN-based ultraviolet-C light emitting diodes--UV LEDs--for water disinfection. (252 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Optoelectronics, Optics, Laser, Epitaxy and Metalorganic vapour phase epitaxy.
His Optoelectronics research incorporates themes from Quantum well and Sapphire.
Optics is often connected to Semiconductor in his work.
His Laser study integrates concerns from other disciplines, such as Cladding, Waveguide and Gallium arsenide.
His biological study spans a wide range of topics, including Hydride, Doping, Thin film, Dislocation and Substrate.
In Metalorganic vapour phase epitaxy, Markus Weyers works on issues like Analytical chemistry, which are connected to Mineralogy.
He most often published in these fields:
- Optoelectronics (67.90%)
- Optics (34.05%)
- Laser (30.16%)
What were the highlights of his more recent work (between 2015-2021)?
- Optoelectronics (67.90%)
- Light-emitting diode (14.40%)
- Epitaxy (28.21%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Optoelectronics, Light-emitting diode, Epitaxy, Sapphire and Laser.
His studies in Optoelectronics integrate themes in fields like Quantum well, Metalorganic vapour phase epitaxy and Annealing.
His studies deal with areas such as Wide-bandgap semiconductor, Electroluminescence, Ultraviolet and Quantum efficiency as well as Light-emitting diode.
His research integrates issues of Hydride, Doping, Diffraction, Crystallite and Chemical engineering in his study of Epitaxy.
The various areas that Markus Weyers examines in his Sapphire study include Substrate and Dislocation.
His Laser research is under the purview of Optics.
Between 2015 and 2021, his most popular works were:
- AlGaN-based deep UV LEDs grown on sputtered and high temperature annealed AlN/sapphire (89 citations)
- Low absorption loss p-AlGaN superlattice cladding layer for current-injection deep ultraviolet laser diodes (30 citations)
- AlN growth on nano‐patterned sapphire: A route for cost efficient pseudo substrates for deep UV LEDs (29 citations)
In his most recent research, the most cited papers focused on:
- Laser
- Semiconductor
- Optics
Markus Weyers mostly deals with Optoelectronics, Light-emitting diode, Sapphire, Epitaxy and Annealing.
His Optoelectronics research includes themes of Metalorganic vapour phase epitaxy and Laser.
His Light-emitting diode research is multidisciplinary, incorporating elements of Wavelength, Layer, Electroluminescence, Magnesium and Ultraviolet.
His Sapphire study incorporates themes from Crystallite, Substrate and Dislocation.
His research investigates the link between Heterojunction and topics such as Doping that cross with problems in Gallium nitride.
The study incorporates disciplines such as Quantum well, Photoluminescence and Cathodoluminescence in addition to Diode.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
