Predicting the structural stability and formability
of ABO3-Type perovskite compounds using
artificial neural networks
Predicting the structural stability and formability
of ABO3-Type perovskite compounds using
artificial neural networks
57-64
Zhang, Yiming
2cb04c53-2bb8-4482-9c6a-88b55533b41a
Ubic, Rick
c7b04bfa-5570-4edb-8aab-03988aac10cf
Xue, Dongfeng
3184c152-f04c-45d0-87e5-dceca92ee6b7
Yang, Shoufeng
e0018adf-8123-4a54-b8dd-306c10ca48f1
1 June 2012
Zhang, Yiming
2cb04c53-2bb8-4482-9c6a-88b55533b41a
Ubic, Rick
c7b04bfa-5570-4edb-8aab-03988aac10cf
Xue, Dongfeng
3184c152-f04c-45d0-87e5-dceca92ee6b7
Yang, Shoufeng
e0018adf-8123-4a54-b8dd-306c10ca48f1
Zhang, Yiming, Ubic, Rick, Xue, Dongfeng and Yang, Shoufeng
(2012)
Predicting the structural stability and formability
of ABO3-Type perovskite compounds using
artificial neural networks.
Materials Focus, 1 (1), .
(doi:10.1166/mat.2012.1009).
Text
Perovskite_Mapping_Letter_22_06_2012.doc
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More information
Published date: 1 June 2012
Organisations:
Engineering Mats & Surface Engineerg Gp
Identifiers
Local EPrints ID: 343047
URI: http://eprints.soton.ac.uk/id/eprint/343047
ISSN: 2169-429X
PURE UUID: 9ee58f9a-6c63-49e6-9169-c025581fc51c
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Date deposited: 03 Oct 2012 09:07
Last modified: 14 Mar 2024 11:58
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Contributors
Author:
Yiming Zhang
Author:
Rick Ubic
Author:
Dongfeng Xue
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