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Time-dependent variation: A new defect-based prediction methodology

For the first time, different impacts of as-grown and generated defects on nm-sized devices are demonstrated. As-grown hole traps are responsible for WDF, which increases with Vg_op and tw. The generated defects are substantial, but do not contribute to WDF and consequently are not detected by RTN....

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Main Authors: Duan, M., Zhang, J. F., Ji, Z., Zhang, W., Kaczer, B., Schram, T., Ritzenthaler, R., Thean, A., Groeseneken, G., Asenov, A.
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Language:English
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creator Duan, M.
Zhang, J. F.
Ji, Z.
Zhang, W.
Kaczer, B.
Schram, T.
Ritzenthaler, R.
Thean, A.
Groeseneken, G.
Asenov, A.
description For the first time, different impacts of as-grown and generated defects on nm-sized devices are demonstrated. As-grown hole traps are responsible for WDF, which increases with Vg_op and tw. The generated defects are substantial, but do not contribute to WDF and consequently are not detected by RTN. The non-discharging component follows the same model as that for large devices: the `AG' model. Based on this defect framework, a new methodology is proposed for test engineers to predict the long term TDV and yield and its prediction-capability is verified.
doi_str_mv 10.1109/VLSIT.2014.6894373
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subjects Discharges (electric)
Educational institutions
Predictive models
Random access memory
Stress
Temperature measurement
Very large scale integration
title Time-dependent variation: A new defect-based prediction methodology
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