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Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Microelectronics Activity
- Recipient company
- Tangent Sciences LLC
- Proposal award date
- 2016-03-15
- Contract end date
- 2016-09-24
- UEI
- RN4LDL3FFZA5
- Solicitation number
- 2015.2
- Topic code
- DMEA152-002
Research abstract
Tangent Sciences develops XRadIC as an automated software framework to non-destructively analyze cutting edge microelectronics using photonflux-limited x-ray microscope systems. XRadIC couples on-the-fly sample scanning with online optimized 2D and 3D image analysis algorithms tomaximize overall system throughput by dynamically minimizing the number of viewing angles and exposure times needed to analyze a givenintegrated circuit, while scanning and image analysis of that circuit progresses. XRadIC forms the basis of a scalable, extensible platform forfailure analysis and reverse engineering. Based on rigorous physics-based simulation, XRadIC algorithm development includes image-stitching,limited-view computed tomography, and 3D segmentation and classification for integrated circuit wiring structures. A key innovation goal ofXRadIC is combining iterative computed tomography methods inspired by compressive sensing with segmentation methods, using as a prior, theexpected structures of integrated circuits such as planar wiring, and binary density classification. This optimization enables significant reductions insample analysis times compared with conventional computed tomography algorithms on flux-limited microscope systems. Three phases of effortare proposed, first starting with a simulation based framework (Phase I), which is validated with real data (Phase II), and built into a
Technology keywords
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Other awards by this recipient
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Awards with the same topic code
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Research funding history
2 SBIR/STTR records share this UEI (2016–2018). Reported award amounts total $1,149,923. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Defense
Agency intelligence
Department of Defense
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