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X-ray diffraction imaging of fully packaged n–p–n transistors under accelerated ageing conditions

Tanner, Brian K orcid logoORCID: 0000-0002-1474-177X, Danilewsky, Andreas and McNally, Patrick J. orcid logoORCID: 0000-0003-2798-5121 (2022) X-ray diffraction imaging of fully packaged n–p–n transistors under accelerated ageing conditions. Journal of Applied Crystallography, 55 . pp. 1139-1146. ISSN 0021-8898

Abstract
X-ray diffraction imaging was used to monitor the local strains that developed around individual n–p–n bipolar transistors within fully encapsulated packages under conditions of extremely high forward bias to simulate accelerated ageing. Die warpage associated with the packaging was observed to relax systematically as the polymer became viscous due to the temperature rise associated with the dissipation of heat in the transistor. The direct image size and intensity from the individual transistors were interpreted in terms of a model in which local thermal expansion is treated as a cylindrical inclusion of distorted material, contrast arising principally from lattice tilt. The extension of the thermal strain image along the emitter with increasing power dissipation was ascribed to the effect of current crowding in the emitter region. Weaker large-area contrast associated with the base–collector region was interpreted as arising from the smaller change in effective misorientation at the high X-ray energy of thermal lattice dilation in the base region.
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Engineering > Materials
Engineering > Microelectronics
Engineering > Production engineering
Engineering > Electronic engineering
Physical Sciences > Electronic circuits
Physical Sciences > Semiconductors
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Official URL:https://doi.org/10.1107/S1600576722007142
Copyright Information:© 2022 International Union of Crystallography
Funders:Project CALIPSOplus (grant agreement No. 730872) from the EU Framework Programme for Research and Innovation HORIZON 202, Science Foundation Ireland (SFI) (grant No. 16/RC/3872) and is co-funded under the European Regional Development Fund
ID Code:28201
Deposited On:27 Mar 2023 14:43 by Patrick Mcnally . Last Modified 27 Mar 2023 14:51
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