Inverse design of a Helmholtz resonator based low-frequency acoustic absorber using deep neural network.
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| Title: | Inverse design of a Helmholtz resonator based low-frequency acoustic absorber using deep neural network. |
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| Authors: | Mahesh, K.1, Kumar Ranjith, S.1,2, Mini, R. S.1, rsmini@cet.ac.in |
| Source: | Journal of Applied Physics; 5/7/2021, Vol. 129 Issue 17, p1-17, 17p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 150233105 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Inverse design of a Helmholtz resonator based low-frequency acoustic absorber using deep neural network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mahesh%2C+K%2E%22">Mahesh, K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kumar+Ranjith%2C+S%2E%22">Kumar Ranjith, S.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Mini%2C+R%2E+S%2E%22">Mini, R. S.</searchLink><relatesTo>1</relatesTo>, <i>rsmini@cet.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Physics%22">Journal of Applied Physics</searchLink>; 5/7/2021, Vol. 129 Issue 17, p1-17, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150233105 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1063/5.0046582 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Inverse design of a Helmholtz resonator based low-frequency acoustic absorber using deep neural network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mahesh, K. – PersonEntity: Name: NameFull: Kumar Ranjith, S. – PersonEntity: Name: NameFull: Mini, R. S. IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 05 Text: 5/7/2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00218979 Numbering: – Type: volume Value: 129 – Type: issue Value: 17 Titles: – TitleFull: Journal of Applied Physics Type: main |
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