Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction.
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| Title: | Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction. |
|---|---|
| Authors: | Ziabari, Amirkoushyar1, ziabariak@ornl.gov, Venkatakrishnan, S. V.1, Snow, Zackary1, Lisovich, Aleksander2, Sprayberry, Michael1, Brackman, Paul2, Frederick, Curtis2, Bhattad, Pradeep2, Graham, Sarah3, Bingham, Philip1, Dehoff, Ryan3, Plotkowski, Alex4, Paquit, Vincent1 |
| Source: | NPJ Computational Materials; 5/30/2023, Vol. 9 Issue 1, p1-10, 10p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 163990320 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163990320 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41524-023-01032-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ziabari, Amirkoushyar – PersonEntity: Name: NameFull: Venkatakrishnan, S. V. – PersonEntity: Name: NameFull: Snow, Zackary – PersonEntity: Name: NameFull: Lisovich, Aleksander – PersonEntity: Name: NameFull: Sprayberry, Michael – PersonEntity: Name: NameFull: Brackman, Paul – PersonEntity: Name: NameFull: Frederick, Curtis – PersonEntity: Name: NameFull: Bhattad, Pradeep – PersonEntity: Name: NameFull: Graham, Sarah – PersonEntity: Name: NameFull: Bingham, Philip – PersonEntity: Name: NameFull: Dehoff, Ryan – PersonEntity: Name: NameFull: Plotkowski, Alex – PersonEntity: Name: NameFull: Paquit, Vincent IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 05 Text: 5/30/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20573960 Numbering: – Type: volume Value: 9 – Type: issue Value: 1 Titles: – TitleFull: NPJ Computational Materials Type: main |
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