What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Electrical engineering
- Silicon
His primary areas of study are Optoelectronics, Layer, Electronic engineering, Epitaxy and Substrate.
His primary area of study in Optoelectronics is in the field of Wafer.
His studies deal with areas such as Thin film, Communication channel, Semiconductor and Graphene as well as Layer.
His research in Thin film intersects with topics in Crystallography and Buckling.
Francis J. Kub works mostly in the field of Electronic engineering, limiting it down to topics relating to Wafer bonding and, in certain cases, Thin layers, Surface acoustic wave, Chemical-mechanical planarization, Resonator and Wafer dicing, as a part of the same area of interest.
His Epitaxy research is multidisciplinary, incorporating perspectives in Semiconductor device and Crystallite.
His most cited work include:
- Method of producing a thin silicon-on-insulator layer (213 citations)
- Method for fabricating singe crystal materials over CMOS devices (207 citations)
- Wafer bonding of thinned electronic materials and circuits to high performance substrates (196 citations)
What are the main themes of his work throughout his whole career to date?
Francis J. Kub mainly investigates Optoelectronics, Layer, Electronic engineering, Annealing and Substrate.
The concepts of his Optoelectronics study are interwoven with issues in Transistor, Gallium nitride and Epitaxy.
In his work, Heterojunction is strongly intertwined with Graphene, which is a subfield of Layer.
His research in Electronic engineering focuses on subjects like Signal processing, which are connected to Photodetector.
His Annealing research also works with subjects such as
- Analytical chemistry, which have a strong connection to Ion and Thin film,
- Ion implantation that connect with fields like Diode, Schottky barrier and Wide-bandgap semiconductor.
Francis J. Kub interconnects Field-effect transistor and Wafer in the investigation of issues within Etching.
He most often published in these fields:
- Optoelectronics (67.86%)
- Layer (25.00%)
- Electronic engineering (16.67%)
What were the highlights of his more recent work (between 2013-2021)?
- Optoelectronics (67.86%)
- Layer (25.00%)
- Annealing (14.29%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Optoelectronics, Layer, Annealing, Gallium nitride and Epitaxy.
His biological study focuses on Doping.
His Layer research incorporates elements of Heterojunction and High-electron-mobility transistor.
His studies in Annealing integrate themes in fields like Dopant Activation, Dopant, Photoluminescence and Raman spectroscopy.
His Gallium nitride research incorporates elements of Thermal conductivity, Vacancy defect, Second-harmonic generation and Frequency conversion.
His studies deal with areas such as Chemical vapor deposition and Engineering physics as well as Epitaxy.
Between 2013 and 2021, his most popular works were:
- Diamond on III-nitride device (74 citations)
- Graphene on semiconductor detector (65 citations)
- III-nitride P-channel field effect transistor with hole carriers in the channel (57 citations)
In his most recent research, the most cited papers focused on:
- Semiconductor
- Electrical engineering
- Optoelectronics
Francis J. Kub mainly focuses on Optoelectronics, Annealing, Wide-bandgap semiconductor, Graphene and Substrate.
His work deals with themes such as Layer, Nitride, Ion implantation and Transistor, which intersect with Optoelectronics.
His Annealing research is multidisciplinary, incorporating perspectives in Thin film and Raman spectroscopy, Analytical chemistry.
His Wide-bandgap semiconductor study integrates concerns from other disciplines, such as Gallium nitride, Electron mobility and Fluence.
Francis J. Kub has included themes like Heterojunction and Semiconductor in his Graphene study.
His Substrate study incorporates themes from Scattering, Transconductance, Sapphire, Carbon and Saturation current.
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.
