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

Group 14: Challenge: Defect detection in graphene sheets

Group 14: Challenge: Defect detection in graphene sheets
Group 14: Challenge: Defect detection in graphene sheets
Try to use machine learning method to accurately classify different types of TEM images of atom lattice of mono layer Graphenes, see Figure1.
AI3SD, Machine Learning, Summer School
University of Southampton
Bao, Peng
eb09f5f9-eb49-4efe-9c4c-92baee80f5a5
Macklin, Jack
82328ebd-5aa6-4279-abb7-17e726c99da1
Gheasi, Masood
0e1a0af4-3f82-4498-a5e5-4f7f7618d68e
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Bao, Peng
eb09f5f9-eb49-4efe-9c4c-92baee80f5a5
Macklin, Jack
82328ebd-5aa6-4279-abb7-17e726c99da1
Gheasi, Masood
0e1a0af4-3f82-4498-a5e5-4f7f7618d68e
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420

Bao, Peng, Macklin, Jack and Gheasi, Masood , Frey, Jeremy G., Niranjan, Mahesan and Kanza, Samantha (eds.) (2022) Group 14: Challenge: Defect detection in graphene sheets University of Southampton 15pp. (doi:10.5258/SOTON/AI3SD0250).

Record type: Monograph (Project Report)

Abstract

Try to use machine learning method to accurately classify different types of TEM images of atom lattice of mono layer Graphenes, see Figure1.

Text
MLSummerSchoolReport_Group 14 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Published date: 30 June 2022
Venue - Dates: AI4SD Machine Learning Summer School, University of Southampton, Southampton, United Kingdom, 2022-06-20 - 2022-06-24
Keywords: AI3SD, Machine Learning, Summer School
Learn more about Vision, Learning and Control research Learn more about Institute for Life Sciences research

Identifiers

Local EPrints ID: 470703
URI: http://eprints.soton.ac.uk/id/eprint/470703
DOI: doi:10.5258/SOTON/AI3SD0250
PURE UUID: a843c03a-5e6a-458c-861d-d33f9a73d468
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489

Catalogue record

Date deposited: 18 Oct 2022 16:42
Last modified: 17 Mar 2024 03:52

Export record

Altmetrics

Contributors

Author: Peng Bao
Author: Jack Macklin
Author: Masood Gheasi
Editor: Jeremy G. Frey ORCID iD
Editor: Mahesan Niranjan ORCID iD
Editor: Samantha Kanza 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.

×