MRS Meetings and Events

 

EQ02.08.01 2022 MRS Fall Meeting

Angstrom-Scale Smoothing of Aluminum Nitride Film Surfaces Using Atomic Layer Etching

When and Where

Nov 29, 2022
3:00pm - 3:15pm

Sheraton, 2nd Floor, Liberty B/C

Presenter

Co-Author(s)

Haozhe Wang1,Azmain Hossain1,David Catherall1,Austin Minnich1

California Institute of Technology1

Abstract

Haozhe Wang1,Azmain Hossain1,David Catherall1,Austin Minnich1

California Institute of Technology1
Roughness-induced light scattering is an important limitation of the performance of various on-chip optical technologies such as microresonators and quantum photonic integrated circuits. Here, we report a plasma-thermal atomic layer etching (ALE) method which enables etching and smoothing of aluminum nitride (AlN) films with Angstrom-scale precision. The ALE process employs sequential exposures of SF<sub>6</sub> plasma and trimethylaluminum (Al(CH<sub>3</sub>)<sub>3</sub>, TMA). In each cycle, the surface is fluorinated by flourine radicals, followed by a ligand-exchange reaction to yield etching. We observed a maximum etch rate of 1.9 Å/cycle at 300 <sup>○</sup>C as measured using ex-situ ellipsometry. After ALE, the surface roughness of AlN was measured to decrease ~35% from 4.3 Å to 2.7 Å. In addition, the etched surface was found to contain a lower concentration of oxygen compared to the original surface. We anticipate that the ALE process may be applied as a post-treatment to improve the performance of on-chip photonic devices which exploit the simultaneous second-order and cubic-order optical nonlinearities of AlN. ALE processes may be generally applicable to photonic materials to decrease losses arising from surface roughness scattering.<br/>Reference: Wang, Haozhe, et al. "Isotropic plasma-thermal atomic layer etching of aluminum nitride using SF<sub>6</sub> plasma and Al (CH<sub>3</sub>) <sub>3</sub>" <i>arXiv preprint arXiv:2209.00150</i> (2022).

Keywords

atomic layer etching | quantum materials | thin film

Symposium Organizers

Viktoriia Babicheva, University of New Mexico
Antonio Ambrosio, Fondazione Istituto Italiano di Tecnologia
Cheng-Wei Qiu, National University of Singapore
Giulia Tagliabue, École Polytechnique Fédérale de Lausanne

Publishing Alliance

MRS publishes with Springer Nature