| _version_ |
1827299243854921728
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| collection |
DOAJ
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| first_indexed |
2024-04-24T15:30:33Z
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| format |
Article
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| id |
doaj.art-14e0c91dcbad4b8cbac429dcbdfd636c
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| institution |
Directory Open Access Journal
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| issn |
2214-157X
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| language |
English
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| last_indexed |
2024-04-24T15:30:33Z
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| publishDate |
2024-04-01
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| publisher |
Elsevier
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| record_format |
Article
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| series |
Case Studies in Thermal Engineering
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| spelling |
doaj.art-14e0c91dcbad4b8cbac429dcbdfd636c2024-04-02T04:15:05ZengElsevierCase Studies in Thermal Engineering2214-157X2024-04-0156104246Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]http://www.sciencedirect.com/science/article/pii/S2214157X24002776
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| spellingShingle |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
Case Studies in Thermal Engineering
|
| title |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
|
| title_full |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
|
| title_fullStr |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
|
| title_full_unstemmed |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
|
| title_short |
Expression of concern: “Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network” [Case Stud. Therm. Eng. 45 (May 2023) 102970]
|
| title_sort |
expression of concern proposing empirical correlations and optimization of nu and sgen of nanofluids in channels and predicting them using artificial neural network case stud therm eng 45 may 2023 102970
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| url |
http://www.sciencedirect.com/science/article/pii/S2214157X24002776
|