Advances in Microelectronics Reliability
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A:Physics".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 12721
Special Issue Editors
Interests: microelectronics device reliability; microelectronic system reliability; power electrtonics using GaN transistors; SiC and GaN in power electronic systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the last few decades, our knowledge of the root cause and physical behavior of critical failure mechanisms in microelectronic devices has grown significantly. Confidence in the reliability of models has led to more aggressive design rules that have been successfully applied to the latest nanoscale technology. One result of improved reliability modeling has been accelerated performance, beyond the expectation of Moore’s Law. A consequence of more aggressive design rules has been a reduction in the weight of a single failure mechanism. Hence, in modern devices, there is no single failure mode that is more likely to occur than any other, as guaranteed by the integration of modern failure physics modeling and advanced device simulation tools in the design process. The consequence of more advanced reliability modeling tools is a new phenomenon of device failures resulting from a combination of several competing failure mechanisms. Therefore, new approaches are required for reliability modeling and prediction.
We solicit papers focusing on failure mechanisms that have a compact formula for lifetime prediction as a function of operating conditions, including voltage, current, frequency, temperature, stress, etc. In particular, we are interested to show that multiple simultaneous mechanisms can be isolated either experimentally or statistically through machine learning or AI approaches. The goal of any physics of failure study is to predict the lifetime under user determined operational conditions; hence, any mechanism that is studied requires a proper weighting of all the relevant mechanisms, leading to failure at operational conditions. This is true for deep sub-micron, nanoscale FINFETs, GaN, and SiC. The same applies for discrete power devices and fully integrated circuits. This Special Issue solicits papers to publish practical research, leading to accurate lifetime prediction by combining the effects of multiple failure and degradation mechanisms into a simple compact model.
Prof. Dr. Joseph Bernstein
Dr. Emmanuel Bender
Guest Editors
Manuscript Submission Information
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Keywords
- multiple mechanisms
- reliability
- physics of failure
- GaN
- SiC
- nanoscale
- BTI
- FINFET
- HCI
- TDDB
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