1970
DOI: 10.1016/0038-1101(70)90102-4
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Physical model for burst noise in semiconductor devices

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Cited by 115 publications
(27 citation statements)
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“…At V Ͼ 1.2 V the upper branch cannot be observed since the RTS mean pulse with in the upper state decrease with V. A similar effect was observed in forwardbiased devices and it was attributed to changes of quasiFermi-level relative to the energy position of the controlling RTS trap. 18,19 RTS fluctuations distinguishable from Gaussian noise are observed in reverse bias ͓see Fig. 2͑b͔͒.…”
Section: Rts In Time Domainmentioning
confidence: 96%
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“…At V Ͼ 1.2 V the upper branch cannot be observed since the RTS mean pulse with in the upper state decrease with V. A similar effect was observed in forwardbiased devices and it was attributed to changes of quasiFermi-level relative to the energy position of the controlling RTS trap. 18,19 RTS fluctuations distinguishable from Gaussian noise are observed in reverse bias ͓see Fig. 2͑b͔͒.…”
Section: Rts In Time Domainmentioning
confidence: 96%
“…2͑a͔͒ indicates that 50% of current is modulated, possibly by a strategically located trap. [17][18][19] Current increase is lowest for the TH stress ͑see Fig. 2͒, while the TH devices exhibit the largest optical power degradation ͑see Fig.…”
Section: Agingmentioning
confidence: 99%
“…7a). The RTS amplitude is usually related to the carrier transport and interaction between the defect and the current [14][15][16]23] in the PP. The RTS mean pulse widths are related to defect properties (defect energy position, capture cross section, reconfiguration energies, etc.…”
Section: Rts Noise Analysismentioning
confidence: 99%
“…Hsu [10] first presented a physical model explaining burst noise. In this model, it is thought that heavy metal impurities deposited in the charge region of the p-n junction results in burst noise.…”
Section: Burst Noise Generationmentioning
confidence: 99%