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Optimization of Thermal Conductance at Interfaces Using Machine Learning Algorithms.

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Title: Optimization of Thermal Conductance at Interfaces Using Machine Learning Algorithms.
Authors: Rustam S; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States., Schram M; Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, United States., Lu Z; Pacific Northwest National Laboratory, Richland, Washington 99352, United States., Chaka AM; Pacific Northwest National Laboratory, Richland, Washington 99352, United States., Rosenthal WS; Pacific Northwest National Laboratory, Richland, Washington 99352, United States., Pfaendtner J; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Source: ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2022 Jul 20; Vol. 14 (28), pp. 32590-32597. Date of Electronic Publication: 2022 Jul 08.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101504991 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1944-8252 (Electronic) Linking ISSN: 19448244 NLM ISO Abbreviation: ACS Appl Mater Interfaces Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Rustam+S%22">Rustam S</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.<br /><searchLink fieldCode="AU" term="%22Schram+M%22">Schram M</searchLink>; Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, United States.<br /><searchLink fieldCode="AU" term="%22Lu+Z%22">Lu Z</searchLink>; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.<br /><searchLink fieldCode="AU" term="%22Chaka+AM%22">Chaka AM</searchLink>; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.<br /><searchLink fieldCode="AU" term="%22Rosenthal+WS%22">Rosenthal WS</searchLink>; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.<br /><searchLink fieldCode="AU" term="%22Pfaendtner+J%22">Pfaendtner J</searchLink>; Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.; Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
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  Data: <searchLink fieldCode="JN" term="%22101504991%22">ACS applied materials & interfaces</searchLink> [ACS Appl Mater Interfaces] 2022 Jul 20; Vol. 14 (28), pp. 32590-32597. <i>Date of Electronic Publication: </i>2022 Jul 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101504991 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1944-8252 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219448244%22">19448244 </searchLink><i>NLM ISO Abbreviation: </i>ACS Appl Mater Interfaces <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1021/acsami.1c23222
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      – Code: eng
        Text: English
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      – TitleFull: Optimization of Thermal Conductance at Interfaces Using Machine Learning Algorithms.
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              Text: 2022 Jul 20
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              Y: 2022
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