On the prediction of ternary semiconductor properties by artificial intelligence methods

10.1021/cm0103996

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Main Authors: Zeng, Y., Chua, S.J., Wu, P.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/82818
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-828182023-10-27T08:58:30Z On the prediction of ternary semiconductor properties by artificial intelligence methods Zeng, Y. Chua, S.J. Wu, P. ELECTRICAL & COMPUTER ENGINEERING 10.1021/cm0103996 Chemistry of Materials 14 7 2989-2998 CMATE 2014-10-07T04:33:52Z 2014-10-07T04:33:52Z 2002 Article Zeng, Y., Chua, S.J., Wu, P. (2002). On the prediction of ternary semiconductor properties by artificial intelligence methods. Chemistry of Materials 14 (7) : 2989-2998. ScholarBank@NUS Repository. https://doi.org/10.1021/cm0103996 08974756 http://scholarbank.nus.edu.sg/handle/10635/82818 000176929000029 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1021/cm0103996
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
Zeng, Y.
Chua, S.J.
Wu, P.
format Article
author Zeng, Y.
Chua, S.J.
Wu, P.
spellingShingle Zeng, Y.
Chua, S.J.
Wu, P.
On the prediction of ternary semiconductor properties by artificial intelligence methods
author_sort Zeng, Y.
title On the prediction of ternary semiconductor properties by artificial intelligence methods
title_short On the prediction of ternary semiconductor properties by artificial intelligence methods
title_full On the prediction of ternary semiconductor properties by artificial intelligence methods
title_fullStr On the prediction of ternary semiconductor properties by artificial intelligence methods
title_full_unstemmed On the prediction of ternary semiconductor properties by artificial intelligence methods
title_sort on the prediction of ternary semiconductor properties by artificial intelligence methods
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/82818
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