Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials' mechanical properties.

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Title: Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials' mechanical properties.
Authors: Wang, Yuheng1,2, Lin, Guang2,3, Yang, Shengfeng1,2 shengfengyang@purdue.edu
Source: APL Machine Learning. Mar2024, Vol. 2 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials' mechanical properties.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yuheng%22">Wang, Yuheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lin%2C+Guang%22">Lin, Guang</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yang%2C+Shengfeng%22">Yang, Shengfeng</searchLink><relatesTo>1,2</relatesTo><i> shengfengyang@purdue.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22APL+Machine+Learning%22">APL Machine Learning</searchLink>. Mar2024, Vol. 2 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179516556
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      – Type: doi
        Value: 10.1063/5.0177062
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials' mechanical properties.
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            NameFull: Wang, Yuheng
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            NameFull: Lin, Guang
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            NameFull: Yang, Shengfeng
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              Text: Mar2024
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              Y: 2024
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