Predicting composition-property relationships for glass ionomer cements: A multifactor central composite approach to material optimization

Lauren Kiri; Daniel Boyd

doi:10.1016/j.jmbbm.2015.02.007

Predicting composition-property relationships for glass ionomer cements: A multifactor central composite approach to material optimization

Lauren Kiri, Daniel Boyd

Neuroscience

科研成果: 期刊稿件 › 文章 › 同行评审

9 引用（Scopus）

源语言	英语
页（从-至）	285-291
页数	7
期刊	Journal of the Mechanical Behavior of Biomedical Materials
卷	46
DOI	https://doi.org/10.1016/j.jmbbm.2015.02.007
出版状态	已出版 - 6月 1 2015

!!!ASJC Scopus Subject Areas

生物材料
生物医学工程
材料力学

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10.1016/j.jmbbm.2015.02.007

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title = "Predicting composition-property relationships for glass ionomer cements: A multifactor central composite approach to material optimization",

author = "Lauren Kiri and Daniel Boyd",

note = "Funding Information: The authors would like to acknowledge the financial assistance of the Atlantic Canada Opportunities Agency (AIF Award 197820 ), and the Natural Sciences and Engineering Research Council of Canada (NSERC, 386022-2010 ) Discovery Program. Publisher Copyright: {\textcopyright} 2015 Elsevier Ltd.",

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AU - Boyd, Daniel

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JF - Journal of the Mechanical Behavior of Biomedical Materials

ER -

Predicting composition-property relationships for glass ionomer cements: A multifactor central composite approach to material optimization

!!!ASJC Scopus Subject Areas

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