What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Condensed matter physics
Condensed matter physics, Optoelectronics, Transistor, Field-effect transistor and Nanotechnology are his primary areas of study.
His work carried out in the field of Condensed matter physics brings together such families of science as Electron, Spin polarization and Electric field.
His work deals with themes such as Capacitance and Ambipolar diffusion, which intersect with Optoelectronics.
His Transistor research integrates issues from Thin-film transistor, Charge carrier, Flexible electronics, Surface charge and Dielectric.
The Field-effect transistor study combines topics in areas such as Conductivity, Single crystal, Hall effect and Self-assembled monolayer.
His Nanotechnology research includes elements of Ion and Hydrogen.
His most cited work include:
- Emergent phenomena at oxide interfaces (1492 citations)
- Superconducting Dome in a Gate-Tuned Band Insulator (692 citations)
- Control of carrier density by self-assembled monolayers in organic field-effect transistors (676 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Condensed matter physics, Optoelectronics, Superconductivity, Transistor and Nanotechnology.
He is involved in the study of Condensed matter physics that focuses on Doping in particular.
His Optoelectronics research is multidisciplinary, incorporating elements of Single crystal, Thin-film transistor, Ambipolar diffusion, Field-effect transistor and Thin film.
The study incorporates disciplines such as Semiconductor, Charge carrier and Organic semiconductor in addition to Field-effect transistor.
His research in Superconductivity intersects with topics in Vortex, Quantum and Nitride.
The Transistor study combines topics in areas such as Ion and Electron mobility.
He most often published in these fields:
- Condensed matter physics (61.74%)
- Optoelectronics (29.13%)
- Superconductivity (32.03%)
What were the highlights of his more recent work (between 2018-2021)?
- Condensed matter physics (61.74%)
- Superconductivity (32.03%)
- Optoelectronics (29.13%)
In recent papers he was focusing on the following fields of study:
Yoshihiro Iwasa mainly investigates Condensed matter physics, Superconductivity, Optoelectronics, van der Waals force and Nanotechnology.
His research integrates issues of Molecular beam epitaxy, Stacking and Quantum spin liquid in his study of Condensed matter physics.
His studies deal with areas such as Phase diagram, Rectification, Vortex, Magnetic field and Polar as well as Superconductivity.
He has included themes like Transistor and Nanomaterials in his Optoelectronics study.
His Nanotechnology study combines topics in areas such as Van der waals heterostructures and Electrode.
His Doping research is multidisciplinary, relying on both Field-effect transistor and Thermoelectric effect.
Between 2018 and 2021, his most popular works were:
- Enhanced intrinsic photovoltaic effect in tungsten disulfide nanotubes. (45 citations)
- Enhanced intrinsic photovoltaic effect in tungsten disulfide nanotubes. (45 citations)
- Mottness versus unit-cell doubling as the driver of the insulating state in 1T-TaS2. (21 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Condensed matter physics
Yoshihiro Iwasa mostly deals with Condensed matter physics, Superconductivity, Optoelectronics, Semiconductor and Monolayer.
He studies Antiferromagnetism, a branch of Condensed matter physics.
His study in the field of Pseudogap is also linked to topics like In plane.
His studies in Optoelectronics integrate themes in fields like Nanomaterials, Thermoelectric effect and MOSFET.
Yoshihiro Iwasa has researched Thermoelectric effect in several fields, including Doping, Charge carrier, Ambipolar diffusion and Field-effect transistor, Transistor.
His Monolayer research incorporates themes from Graphene and Deep learning, Artificial intelligence.
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.
