SUPR
Monte Carlo Simulations of Transferred Electron Oscillators
Dnr:

NAISS 2025/5-250

Type:

NAISS Medium Compute

Principal Investigator:

Jan Isberg

Affiliation:

Uppsala universitet

Start Date:

2025-04-29

End Date:

2026-05-01

Primary Classification:

10304: Condensed Matter Physics

Webpage:

Allocation

Abstract

Diamond is wide-bandgap semiconductor with many extreme properties, such as the highest breakdown field, carrier mobility, and the highest thermal conductivity compared with other wide-bandgap semiconductor e.g. silicon carbide (SiC) and gallium nitride (GaN). This means that power electrical devices based on diamond, such as power diodes, would outperform todays devices when it comes to minimizing losses and device size. This is the reasons why diamond is seen as a part of the green transition from fossil fuel to electricity. Other applications where diamond outstanding intrinsic properties could improve on today’s technology includes X-ray optics, radiations detectors and photoconductive switches. In our research, we combined simulations and state-of-the-art time of flight experiments to understand the electronic transport in diamond from cryogenic up to room temperature. The focus have been to understand the multi valley electron transport (valleytronics) and it have resulted in, among other things, a valley transistor. Now have we started to use the same framework, of theoretically predicted electronic scattering properties, developed for electron transport to understand the results from cyclotron resonance measurements. This research have been conducted in the group of Prof. Jan Isberg, Division of Electricity, Department of Electric Engineering, Uppsala University and in collaboration with University of Kyoto (Prof N.Naka) and Wakayama University (Dr I. Akimoto) in Japan. The theoretical studies that we are planning include further development of the cyclotron resonance simulations in collaboration with the researchers in Japan and devise simulations to understand Gunn oscillation in diamond. Our in-house developed self-consistent multi-scale conduction-band ensemble Monte Carlo simulations is implemented in FORTRAN, for the highly efficient code, and python for the pre- and post-processing. The code is unique, compared to commercial MC codes, in that most time critical calculations are handled through analytical expression that have been calculated for our specific cases of interest. Results from the first part of the project project were published in Materials for Quantum Technology 3 (2), 025001 (2023); Physical Review B 106 (4), 045205 (2022) and Physical Review Applied 17 (3), L031001 More high-profile publications are planned in collaboration with our Japanese collaborators.