On the prediction of ternary semiconductor properties by artificial intelligence methods
10.1021/cm0103996
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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 |
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10.1021/cm0103996 |
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ELECTRICAL & COMPUTER ENGINEERING |
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ELECTRICAL & COMPUTER ENGINEERING Zeng, Y. Chua, S.J. Wu, P. |
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Zeng, Y. Chua, S.J. Wu, P. |
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Zeng, Y. Chua, S.J. Wu, P. On the prediction of ternary semiconductor properties by artificial intelligence methods |
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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 |
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On the prediction of ternary semiconductor properties by artificial intelligence methods |
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On the prediction of ternary semiconductor properties by artificial intelligence methods |
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on the prediction of ternary semiconductor properties by artificial intelligence methods |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/82818 |
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