NONDESTRUCTIVE 3D X-RAY MICROSCOPY SPEEDS THROUGHPUT IN NEW FAILURE ANALYSIS WORKFLOWS.
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| Title: | NONDESTRUCTIVE 3D X-RAY MICROSCOPY SPEEDS THROUGHPUT IN NEW FAILURE ANALYSIS WORKFLOWS. |
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| Authors: | Hartfield, Cheryl1 cheryl.hartfield@zeiss.com |
| Source: | Electronic Device Failure Analysis. Nov2024, Vol. 26 Issue 4, p14-19. 6p. |
| Subjects: | Failure analysis, X-ray microscopy, High performance computing |
| Abstract: | The article focuses on the growing demand for high-performance computing (HPC) driven by artificial intelligence and machine learning, leading to complex packaging challenges. Topics include the rise of heterogeneous integration and chiplet architectures, the application of 3D x-ray microscopy for nondestructive failure analysis, and the integration of AI models to enhance fault detection and process validation. |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 180438660 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: NONDESTRUCTIVE 3D X-RAY MICROSCOPY SPEEDS THROUGHPUT IN NEW FAILURE ANALYSIS WORKFLOWS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hartfield%2C+Cheryl%22">Hartfield, Cheryl</searchLink><relatesTo>1</relatesTo><i> cheryl.hartfield@zeiss.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronic+Device+Failure+Analysis%22">Electronic Device Failure Analysis</searchLink>. Nov2024, Vol. 26 Issue 4, p14-19. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Failure+analysis%22">Failure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+microscopy%22">X-ray microscopy</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the growing demand for high-performance computing (HPC) driven by artificial intelligence and machine learning, leading to complex packaging challenges. Topics include the rise of heterogeneous integration and chiplet architectures, the application of 3D x-ray microscopy for nondestructive failure analysis, and the integration of AI models to enhance fault detection and process validation. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=180438660 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.31399/asm.edfa.2024-4.p014 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 14 Subjects: – SubjectFull: Failure analysis Type: general – SubjectFull: X-ray microscopy Type: general – SubjectFull: High performance computing Type: general Titles: – TitleFull: NONDESTRUCTIVE 3D X-RAY MICROSCOPY SPEEDS THROUGHPUT IN NEW FAILURE ANALYSIS WORKFLOWS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hartfield, Cheryl IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15370755 Numbering: – Type: volume Value: 26 – Type: issue Value: 4 Titles: – TitleFull: Electronic Device Failure Analysis Type: main |
| ResultId | 1 |