Surface transfer doping of diamond for power electronics

The quest for a suitable wide-bandgap semiconductor for high-power and high-frequency applications is well motivated; wide-bandgap semiconductors generally exhibit a high breakdown field and can therefore support a high voltage over short distances. Diamond (Bandgap of 5.5 eV) in particular is an attractive prospect since its thermal conductivity and radiation hardness well surpass other wide-bandgap semiconductors. However, practical transistors require the ability to engineer the charge density through substitutional doping which has proven to be difficult considering the strong covalent bonds that make up bulk diamond. In this work, we utilize hydrogen-passivated diamond surface along with surface acceptors to generate a highly conductive 2D hole sheet at the surface with carrier densities going up to 10¹⁴ cm⁻². Surface transfer doping using stable high electron affinity transition-metal oxides (TMO) such as WO₃ in conjunction with the novel contact-first process explored in this work shows great promise on advancing process stability while attaining the high current densities desired in the future of power diamond transistors. We closely examine the H-terminated diamond/TMO interface using a numerical approach based on a Schrödinger-Poisson solver package. We identify key inconsistencies in the generic valence-to-conduction transfer model for both shallow and deep TMO electron affinity regimes. We report that introducing deep level impurities in the TMO have shown improvements to the effect of bias modulation and agreement with experiments for low TMO affinities. A solution for engineering a preexisting TMO with fixed affinity and trap level is presented through TMO thickness engineering. The methods explored in this work show promise towards the enhancement of diamond conductivity and reproducibility.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Al Johani, Ebrahim Dakhil.

Advisor dc:contributor.advisor

• Jesus A. del Alamo.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129079

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129079