2023
DOI: 10.1109/jeds.2023.3253081
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Development and Challenges of Reliability Modeling From Transistors to Circuits

Abstract: The integration density of electronic systems is limited by the reliability of the integrated circuits. To guarantee the overall performance, the integrated circuit reliability must be modeled and analyzed at the early design stage. This paper reviews some of the most important intrinsic aging mechanisms of MOSFETs and elaborates the physical mechanism of the coupling between aging effects. Then the progress in reliability modeling under static and dynamic operational voltages is reviewed. It is found that alt… Show more

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Cited by 8 publications
(2 citation statements)
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“…Subsequently, the parameters require adjustment through comparison with the measured gain curve. Combined with the analysis of the influence of parameters in 3.2 on circuit gain and the extraction of modeling parameter values and units of HBT tube and GaAs HBT tube in reference [7][8][9][10], the simulation gain curve is obtained after multiple fitting, as shown in Fig. 10.…”
Section: Comparison Of Simulation and Measurement Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Subsequently, the parameters require adjustment through comparison with the measured gain curve. Combined with the analysis of the influence of parameters in 3.2 on circuit gain and the extraction of modeling parameter values and units of HBT tube and GaAs HBT tube in reference [7][8][9][10], the simulation gain curve is obtained after multiple fitting, as shown in Fig. 10.…”
Section: Comparison Of Simulation and Measurement Resultsmentioning
confidence: 99%
“…Modeling RF devices serves a dual purpose: it enhances the success rate of circuit design and facilitates the analysis of electromagnetic compatibility characteristics within the RF system. This process is immensely beneficial for subsequent improvements in system stability [10][11][12][13][14]. The traditional approach to modeling integrated circuits involves testing the chip's internal parameters using a vector network analyzer.…”
Section: Introductionmentioning
confidence: 99%