What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Semiconductor
His primary areas of investigation include Optoelectronics, Nanotechnology, Graphene, Transistor and Carbon nanotube.
His study focuses on the intersection of Optoelectronics and fields such as Field-effect transistor with connections in the field of Gate oxide.
Phaedon Avouris has researched Nanotechnology in several fields, including Molecular electronics, Carbon nanotube field-effect transistor, Electronic structure and Silicon.
The various areas that he examines in his Graphene study include Photonics, Condensed matter physics and Terahertz radiation.
The concepts of his Transistor study are interwoven with issues in Wafer, Doping, Electronics, Logic gate and Integrated circuit.
His Carbon nanotube study combines topics in areas such as Carbon and Ambipolar diffusion.
His most cited work include:
- Single- and multi-wall carbon nanotube field-effect transistors (2348 citations)
- Ultrafast graphene photodetector (2142 citations)
- 100-GHz Transistors from Wafer-Scale Epitaxial Graphene (2112 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Optoelectronics, Carbon nanotube, Nanotechnology, Graphene and Transistor.
Phaedon Avouris has included themes like Field-effect transistor, Carbon nanotube field-effect transistor and Gate oxide in his Optoelectronics study.
Phaedon Avouris focuses mostly in the field of Carbon nanotube, narrowing it down to topics relating to Exciton and, in certain cases, Atomic physics.
His Nanotechnology research is multidisciplinary, incorporating perspectives in Photonics, Schottky diode and Electrode.
His research investigates the connection between Graphene and topics such as Condensed matter physics that intersect with problems in Scattering and Electron.
His Transistor research incorporates elements of Electron mobility, Logic gate and Electronics.
He most often published in these fields:
- Optoelectronics (40.00%)
- Carbon nanotube (30.24%)
- Nanotechnology (27.09%)
What were the highlights of his more recent work (between 2009-2020)?
- Graphene (26.93%)
- Optoelectronics (40.00%)
- Nanotechnology (27.09%)
In recent papers he was focusing on the following fields of study:
Phaedon Avouris focuses on Graphene, Optoelectronics, Nanotechnology, Plasmon and Transistor.
As part of the same scientific family, Phaedon Avouris usually focuses on Graphene, concentrating on Condensed matter physics and intersecting with Scattering.
His Optoelectronics research includes themes of Field-effect transistor, Substrate, Carbon nanotube and Electronics.
His study in Carbon nanotube is interdisciplinary in nature, drawing from both Carbon nanotube field-effect transistor and Exciton.
His Photonics research extends to Nanotechnology, which is thematically connected.
The study incorporates disciplines such as Wafer, Ballistic conduction, Power gain and Radio frequency in addition to Transistor.
Between 2009 and 2020, his most popular works were:
- 100-GHz Transistors from Wafer-Scale Epitaxial Graphene (2112 citations)
- Photodetectors based on graphene, other two-dimensional materials and hybrid systems (1894 citations)
- Graphene photodetectors for high-speed optical communications (1635 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Semiconductor
The scientist’s investigation covers issues in Graphene, Optoelectronics, Nanotechnology, Transistor and Plasmon.
He combines subjects such as Photonics, Phonon, Condensed matter physics and Terahertz radiation with his study of Graphene.
His Optoelectronics study integrates concerns from other disciplines, such as Field-effect transistor and Infrared.
His Nanotechnology research includes elements of Conductance, Capacitance and Electronic structure.
The Transistor study combines topics in areas such as Wafer, Silicon carbide, Cutoff frequency, Ballistic conduction and Electronics.
His research integrates issues of Power gain and Carbon nanotube in his study of Electronics.
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.
