Using artificial neural networks to predict grain boundary energies

S Echeverri Restrepo, S Tamayo Giraldo, BJ Thijsse

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Pages (from-to)	170-173
Number of pages	4
Journal	Computational Materials Science
Volume	86
DOIs	https://doi.org/10.1016/j.commatsci.2014.01.039
Publication status	Published - 2014

harvest
Available online 18-02-2014

Keywords

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title = "Using artificial neural networks to predict grain boundary energies",

keywords = "CWTS JFIS < 0.75",

author = "{Echeverri Restrepo}, S and {Tamayo Giraldo}, S and BJ Thijsse",

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T1 - Using artificial neural networks to predict grain boundary energies

AU - Echeverri Restrepo, S

AU - Tamayo Giraldo, S

AU - Thijsse, BJ

N1 - harvest Available online 18-02-2014

PY - 2014

Y1 - 2014

KW - CWTS JFIS < 0.75

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DO - 10.1016/j.commatsci.2014.01.039

M3 - Article

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VL - 86

SP - 170

EP - 173

JO - Computational Materials Science

JF - Computational Materials Science

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