The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Vertical growth models outperform effective medium models in analyzing VO2 phase transition

Vertical growth models outperform effective medium models in analyzing VO2 phase transition
Vertical growth models outperform effective medium models in analyzing VO2 phase transition
We propose vertical growth models as a numerical method to analyze the phase transition in vanadium dioxide thin films, and show that they can outperform effective medium models in predicting temperature-dependent linear optical properties.
Zheng, Zihang
e6e6d348-ff52-4505-b20c-8ab947456061
Sun, Kai
b7c648a3-7be8-4613-9d4d-1bf937fb487b
Du, Yuxin
c7d40636-5d75-47cf-bf22-f60d42484c3e
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Fang, Xu
96b4b212-496b-4d68-82a4-06df70f94a86
Zheng, Zihang
e6e6d348-ff52-4505-b20c-8ab947456061
Sun, Kai
b7c648a3-7be8-4613-9d4d-1bf937fb487b
Du, Yuxin
c7d40636-5d75-47cf-bf22-f60d42484c3e
Muskens, Otto
2284101a-f9ef-4d79-8951-a6cda5bfc7f9
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Fang, Xu
96b4b212-496b-4d68-82a4-06df70f94a86

Zheng, Zihang, Sun, Kai, Du, Yuxin, Muskens, Otto, De Groot, Kees and Fang, Xu (2022) Vertical growth models outperform effective medium models in analyzing VO2 phase transition. CLEO, , San Jose, United States. 15 - 20 May 2022. 1 pp . (In Press)

Record type: Conference or Workshop Item (Poster)

Abstract

We propose vertical growth models as a numerical method to analyze the phase transition in vanadium dioxide thin films, and show that they can outperform effective medium models in predicting temperature-dependent linear optical properties.

Text
CLEO_VO2_ZZ - Author's Original
Available under License Creative Commons Attribution.
Download (144kB)

More information

Accepted/In Press date: 11 March 2022
Venue - Dates: CLEO, , San Jose, United States, 2022-05-15 - 2022-05-20
Related URLs:
Learn more about Institute for Life Sciences research Learn more about School of Electronics and Computer Science research Learn more about Institute for Life Sciences research Learn more about Sustainable Electronic Technologies research

Identifiers

Local EPrints ID: 456412
URI: http://eprints.soton.ac.uk/id/eprint/456412
PURE UUID: 11367fe9-1395-4b78-93a6-54b99858f5b8
ORCID for Kai Sun: ORCID iD orcid.org/0000-0001-6807-6253
ORCID for Otto Muskens: ORCID iD orcid.org/0000-0003-0693-5504
ORCID for Kees De Groot: ORCID iD orcid.org/0000-0002-3850-7101
ORCID for Xu Fang: ORCID iD orcid.org/0000-0003-1735-2654

Catalogue record

Date deposited: 28 Apr 2022 16:35
Last modified: 15 Jun 2024 01:42

Export record

Contributors

Author: Zihang Zheng
Author: Kai Sun ORCID iD
Author: Yuxin Du
Author: Otto Muskens ORCID iD
Author: Kees De Groot ORCID iD
Author: Xu Fang ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×