The University of Southampton
University of Southampton Institutional Repository

GaAs/AlGaAs nanowire photodetector

GaAs/AlGaAs nanowire photodetector
GaAs/AlGaAs nanowire photodetector
1530-6984
Dai, Xing
da8a570e-ba5c-42cc-bcd7-1e88749ba291
Wang, Zilong
7ca7e5fb-ab96-4c95-8ff4-945f38cdeac5
Adamo, Giorgio
90eaf079-f42c-4de9-ad5f-a01685049941
Liu, Hai
ee38a69c-1cdb-46b2-9127-39a63e67a3aa
Huang, Yizhong
b5992e6c-33e4-4645-8120-4dee2b016cb8
Couteau, Christophe
3f24b401-593d-4679-bc57-3ba6f7ca2022
Soci, Cesare
6c86324e-2968-4e90-9436-4a92a4b26cec
Dai, Xing
da8a570e-ba5c-42cc-bcd7-1e88749ba291
Wang, Zilong
7ca7e5fb-ab96-4c95-8ff4-945f38cdeac5
Adamo, Giorgio
90eaf079-f42c-4de9-ad5f-a01685049941
Liu, Hai
ee38a69c-1cdb-46b2-9127-39a63e67a3aa
Huang, Yizhong
b5992e6c-33e4-4645-8120-4dee2b016cb8
Couteau, Christophe
3f24b401-593d-4679-bc57-3ba6f7ca2022
Soci, Cesare
6c86324e-2968-4e90-9436-4a92a4b26cec

Dai, Xing, Wang, Zilong, Adamo, Giorgio, Liu, Hai, Huang, Yizhong, Couteau, Christophe and Soci, Cesare (2014) GaAs/AlGaAs nanowire photodetector. Nano Letters. (doi:10.1021/nl5006004).

Record type: Article

This record has no associated files available for download.

More information

Published date: 14 May 2014

Identifiers

Local EPrints ID: 509547
URI: http://eprints.soton.ac.uk/id/eprint/509547
ISSN: 1530-6984
PURE UUID: 52256c27-87f3-44f8-90ab-ace1ca02b80d
ORCID for Giorgio Adamo: ORCID iD orcid.org/0000-0003-1974-3368

Catalogue record

Date deposited: 25 Feb 2026 17:46
Last modified: 26 Feb 2026 02:55

Export record

Altmetrics

Contributors

Author: Xing Dai
Author: Zilong Wang
Author: Giorgio Adamo ORCID iD
Author: Hai Liu
Author: Yizhong Huang
Author: Christophe Couteau
Author: Cesare Soci

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

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.

×