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arxiv: 1112.2043 · v1 · pith:NJCKXAIYnew · submitted 2011-12-09 · ❄️ cond-mat.mtrl-sci · cond-mat.mes-hall· quant-ph

Characterization and Predictive Modeling of Epitaxial Silicon-Germanium Thermistor Layers

classification ❄️ cond-mat.mtrl-sci cond-mat.mes-hallquant-ph
keywords epitaxiallayersmodelingpredictivesigesilicon-germaniumsimulationanalyzed
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The thermal coefficient of resistance (TCR) for epitaxial silicon-germanium (SiGe) layers has been analyzed by experiment and simulation. Predictive simulation using drift-diffusion formalism and self-consistent quantum-mechanical solutions yielded similar results, TCR around 2%/K at 300 K. This modeling approach can be used for different, graded and constant, SiGe profiles,. It is also capable of predicting the influence of background auto-doping on the TCR of the detectors

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