Graphene Zener-Klein Tunneling Transistors

April 9th, 2021 BERNARD PLAÇAIS Research Director at CNRS

High-mobility boron-nitride encapsulated graphene is a well-known model system for quantum electronics, spintronics, plasmonics, optolectronics, and strongly interacting electron physics. It is also a platform for out-of-equilibrium physics thanks to its electric-field strength and large current carrying capability. I will illustrate some high-field graphene properties in the geometry of the so-called Zener-Klein-tunneling transistor.

I will first introduce the Zener-Klein tunneling field effect transistor (ZKT-FET) istelf, its different transport regimes in increasing electric field: diffusive, velocity saturation, Zener-Klein tunneling, and finally the drain-voltage induced bipolar regime where the graphene transistor behaves as a light emitting diode (ZKT-LED).

Different regimes have signatures in the energy relaxation mechanisms which are monitored by microwave noise thermometry. In particular, ZKT-FETs benefit from electroluminescent cooling by the hyperbolic phonon polariton (HPhP) modes of the hBN substrate. This near-field radiative cooling is quite unique and efficient; it can be directly detected as a mid-infrared light in the far-field. Conversely, HPhP emission plays an important role in the mid-infrared response ZKT-FETs.

If time permits, I will discuss two more phenomena observed in ZKT-FETs. The first is the breakdown of quantum Hall effect (QHE), which is mediated by a collective magneto-exciton instability. The second revisits the old problem of flicker noise at the light of the tunability of relation mechanisms in ZKT-FETs.

This seminar is open to all interested. Please, register to get the Zoom link to join in.

L4G Seminar, April 9, 2021, 12:00. Online (Zoom)

Hosted by Prof. Adrian Bachtold

This activity is co-funded by the European Regional Development Funds (ERDF) allocated to the Programa operatiu FEDER de Catalunya 2014-2020, with the support of the Secretaria d’Universitats i Recerca of the Departament d’Empresa i Coneixement of the Generalitat de Catalunya for emerging technology clusters devoted to the valorization and transfer of research results (GraphCAT 001-P-001702).