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. |
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| 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 |
| ISSN: | 1944-8252 |
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| DOI: | 10.1021/acsami.1c23222 |
