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Pascal Gounet
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Proceedings Papers
ISTFA2023, ISTFA 2023: Conference Proceedings from the 49th International Symposium for Testing and Failure Analysis, 7-15, November 12–16, 2023,
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Non-destructive inspection and analysis techniques are crucial for quality assessment and defect analysis in various industries. They enable for screening and monitoring of parts and products without alteration or impact, facilitating the exploration of material interactions and defect formation. With increasing complexity in microelectronic technologies, high reliability, robustness and thus, successful failure analysis is essential. Machine learning (ML) approaches have been developed and evaluated for the analysis of acoustic echo signals and time-resolved thermal responses for assessing their ability for defect detection. In the present paper different ML architectures were evaluated, including 1D and 2D convolutional neural networks (CNNs) after transforming time-domain data into the spectra-land wavelet domains. Results showed that 2D CNN with wavelet domain representation performed best, however at the expense of additional computational effort. Furthermore, ML-based analysis was explored for lock-in thermography to detect and locate defects in the axial dimension based on thermal emissions. While promising, further research is needed to fully realize its potential.
Proceedings Papers
ISTFA2022, ISTFA 2022: Conference Proceedings from the 48th International Symposium for Testing and Failure Analysis, 12-20, October 30–November 3, 2022,
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The paper presents the approach of enhancing time-domain signal analysis using machine learning techniques for analyzing acoustic echo signals and the subsequent derivation of condition-related class assignments for failure analysis. The examples provided here include two types of flip-chips with defects intentionally induced by thermal stressing. Besides investigating the general applicability and the benefit of the approach the current study also investigated the applicability of different deep learning model-architectures and compared their performances, accuracies, and robustness with respect to external impacts such as noise, jitter or physical defocusing. For independent verification selected defects which have either been identified by an experienced operator or the ML algorithm or both, have been further analyzed and validated by FIB/SEM cross sectional analysis.
Proceedings Papers
ISTFA2017, ISTFA 2017: Conference Proceedings from the 43rd International Symposium for Testing and Failure Analysis, 270-274, November 5–9, 2017,
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An advanced sample preparation protocol using Xe+ Plasma FIB for increasing FA throughput is proposed. We prepared cross-sections of 400 μm and wider in challenging samples such as a BGA (CSP), bond wires in mold compound or a TSV array. These often suffer from FIB milling artifacts. The unsatisfactory quality of the cross-section face is mainly due to extremely different milling rates of the various materials (polyimide, tin, copper, mold compound, platinum), ion beam induced ripples [1] or due to significant surface topography. We explored the usability of the protocol for standard cross-sections and also tested the preparation of TEM lamellae. The process parameters of the proposed approach were compared with the standard methods of Xe+ Plasma FIB FA with respect to preparation time and cross-section quality. Aiming for ultimate results, we incorporated the Rocking stage technique which also greatly improves cross-section quality.
Proceedings Papers
ISTFA2016, ISTFA 2016: Conference Proceedings from the 42nd International Symposium for Testing and Failure Analysis, 630-634, November 6–10, 2016,
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High speed FIB cross-sectioning of polyimide material was traditionally very difficult because of artifacts created by FIB on the cross section plane. Therefore we propose a simple method, which retains the high speed of the FIB process, but significantly improves the quality of the cross section plane. The method involves a hard mask positioned close to the intended place of the cross section using a precise manipulator. This then enables highly accurate and site-specific FIB cross-sectioning. Cross sections can be made very quickly and with the excellent quality in comparison to standard procedures based on gas-assisted deposition of a protection layer.
Proceedings Papers
ISTFA2011, ISTFA 2011: Conference Proceedings from the 37th International Symposium for Testing and Failure Analysis, 248-255, November 13–17, 2011,
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IC packages have been greatly improved over the past several years. With the adoption of Cu wires and new green EMC (Epoxy Molding Compound), the suppression of lead, the use of Cu pillars and the increased number of dies, the verification of the quality of the assembly and failure analysis becomes critical. Starting twelve years ago, LASER ablation was introduced as a means to facilitate the pre-decapsulation of packages aiming at a completion by wet chemistry (acids) or dry chemistry (plasma). The decapsulation process with acid at medium temperature (75°C) does not permit to keep the Cu wires intact. Our studies and work in the past several years has consisted in lowering the temperature of acid use in order to minimize the effect of acid attack on the Al pads and Cu wires. Currently the thinnest wires used are 0.6 mil in diameter (approximately 15 μm). In this article we will demonstrate that decapsulations at sub-ambient temperatures are now possible and give expected results. Moreover, openings at near ambient temperature reduce the component deformation and also the deformation of its constituents compared to decapsulations at medium or high temperature.