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Semiconductor Reliability Analysis via Adaptive Kriging
Optimizations in Applied Machine Learning, 2021 Semiconductor devices play a critical role in modern electronic systems, necessitating a comprehensive understanding of their reliability. Despite the extensive research in this field, current methodologies encounter challenges in accurately predicting semiconductor reliability due to the complex interactions among various factors. This paper addresses
O'Sullivan Liam +2 more
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Reliability of Wide Band Gap Power Electronic Semiconductor and Packaging: A Review [PDF]
Energies, 2022 Wide band gap (WBG) power electronic devices, such as silicon carbide metal–oxide–semiconductor field-effect transistors (SiC MOSFETs) and gallium–nitride high-electron-mobility transistors (GaN HEMTs) have been widely used in various fields and occupied
Yalin Wang, Yi Ding, Yi Yin
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, 2016 In semiconductor manufacturing, understanding how various materials behave and interact is critical to making a reliable and robust semiconductor package. Semiconductor Packaging: Materials Interaction and Reliability provides a fundamental understanding of the underlying physical properties of the materials used in a semiconductor package.
Chen, Andrea, Lo, Randy Hsiao-Yu
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Reliability Of Semiconductor Injection Lasers
SPIE Proceedings, 1987 Semiconductor injection lasers are key components in fiber optic communication systems, therefore their reliability is a determining factor in the technical success of these systems. Lasers are subject to several specific degradation mechanisms some of which affect the bulk of the optically active volume of the device, some the mirror facets and some ...
Wolf, H. D., Mettler, K., Lengyel, G.
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Review on the Thermal Models Applications in the Reliability of Power Semiconductor Device [PDF]
IET Power ElectronicsThe power semiconductor device plays a key role in energy conversion and management, and the failure of the device would make a great economic loss.
Jun Zhang +3 more
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Modeling TPU Thermal Maps Under Superlattice Thermoelectric Cooling
IEEE Access, 2022 The recent renaissance in machine learning is requesting computing power at an ever-increasing rate. In order to meet this demand, tensor processing units (TPU) are becoming popular because they hold the promise to be more efficient in terms of power ...
Tim Bucher, Hussam Amrouch
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Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs
IEEE Open Journal of Circuits and Systems, 2023 Cryogenic CMOS circuits that efficiently connect the classical domain with the quantum world are the cornerstone in bringing large-scale quantum processors to reality. The major challenges are, however, the tight power budget (in the order of milliwatts)
Shivendra Singh Parihar +4 more
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Modeling and Investigating Total Ionizing Dose Impact on FeFET
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2023 This article presents a novel, simulation-based study of the long-term impact of X-ray irradiation on the ferroelectric field effect transistor (FeFET).
Munazza Sayed, Kai Ni, Hussam Amrouch
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Peanut Defect Identification Based on Multispectral Image and Deep Learning
Agronomy, 2023 To achieve the non-destructive detection of peanut defects, a multi-target identification method based on the multispectral system and improved Faster RCNN is proposed in this paper.
Yang Wang +8 more
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Cryogenic Embedded System to Support Quantum Computing: From 5-nm FinFET to Full Processor
IEEE Transactions on Quantum Engineering, 2023 Quantum computing can enable novel algorithms infeasible for classical computers. For example, new material synthesis and drug optimization could benefit if quantum computers offered more quantum bits (qubits).
Paul R. Genssler +7 more
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