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Classification of Metal Nanoclusters Using Convolutional Neural Networks

Published online by Cambridge University Press:  22 July 2022

Malcolm Dearg ,
Henry P Hoddinott ,
Yubiao Niu ,
Richard E Palmer  and
Thomas JA Slater
Malcolm Dearg*
Affiliation:
Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff, UK ePSIC, Diamond Light Source, Oxfordshire, UK
Henry P Hoddinott
Affiliation:
Nanomaterials Lab, Swansea University, Bay Campus, Swansea, UK
Yubiao Niu
Affiliation:
Nanomaterials Lab, Swansea University, Bay Campus, Swansea, UK
Richard E Palmer
Affiliation:
Nanomaterials Lab, Swansea University, Bay Campus, Swansea, UK
Thomas JA Slater*
Affiliation:
Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff, UK ePSIC, Diamond Light Source, Oxfordshire, UK Nanomaterials Lab, Swansea University, Bay Campus, Swansea, UK
*
*Corresponding author: DeargM@cardiff.ac.uk, SlaterT2@cardiff.ac.uk
*Corresponding author: DeargM@cardiff.ac.uk, SlaterT2@cardiff.ac.uk

Abstract

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Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 3000 - 3001
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Copyright
Copyright © Microscopy Society of America 2022

References

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We thank Diamond Light Source for access and support in use of the electron Physical Science Imaging Centre (Instrument E02, proposal number MG28449).Google Scholar
The authors acknowledge funding from the EPSRC (EP/V029797/1).Google Scholar