Statistical process modelling for 32nm high-K/metal gate PMOS device
The evolution of MOSFET technology has been governed solely by device scaling, delivered an ever-increasing transistor density through Moore's Law. In this paper, the design, fabrication and characterization of 32nm HfO2/TiSi2 PMOS device is presented; replacing the conventional SiO2 dielectric...
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my.uniten.dspace-52122017-11-15T02:56:39Z Statistical process modelling for 32nm high-K/metal gate PMOS device Maheran, A.H.A. Noor Faizah, Z.A. Menon, P.S. Ahmad, I. Apte, P.R. Kalaivani, T. Salehuddin, F. The evolution of MOSFET technology has been governed solely by device scaling, delivered an ever-increasing transistor density through Moore's Law. In this paper, the design, fabrication and characterization of 32nm HfO2/TiSi2 PMOS device is presented; replacing the conventional SiO2 dielectric and Poly-Silicon. The fabrication and simulation of PMOS transistor is performed via Virtual Wafer Fabrication (VWF) Silvaco TCAD Tools namely ATHENA and ATLAS. Taguchi L9 Orthogonal method is then applied to this experiment for optimization of threshold voltage (VTH) and leakage current (IOFF). The simulation result shows that the optimal value of VTH and IOFF which are 0.1030075V and 3.4264075×10-12A/um respectively are well within ITRS prediction. © 2014 IEEE. 2017-11-15T02:56:39Z 2017-11-15T02:56:39Z 2014 http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5212 |
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The evolution of MOSFET technology has been governed solely by device scaling, delivered an ever-increasing transistor density through Moore's Law. In this paper, the design, fabrication and characterization of 32nm HfO2/TiSi2 PMOS device is presented; replacing the conventional SiO2 dielectric and Poly-Silicon. The fabrication and simulation of PMOS transistor is performed via Virtual Wafer Fabrication (VWF) Silvaco TCAD Tools namely ATHENA and ATLAS. Taguchi L9 Orthogonal method is then applied to this experiment for optimization of threshold voltage (VTH) and leakage current (IOFF). The simulation result shows that the optimal value of VTH and IOFF which are 0.1030075V and 3.4264075×10-12A/um respectively are well within ITRS prediction. © 2014 IEEE. |
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Maheran, A.H.A. Noor Faizah, Z.A. Menon, P.S. Ahmad, I. Apte, P.R. Kalaivani, T. Salehuddin, F. |
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Maheran, A.H.A. Noor Faizah, Z.A. Menon, P.S. Ahmad, I. Apte, P.R. Kalaivani, T. Salehuddin, F. Statistical process modelling for 32nm high-K/metal gate PMOS device |
author_facet |
Maheran, A.H.A. Noor Faizah, Z.A. Menon, P.S. Ahmad, I. Apte, P.R. Kalaivani, T. Salehuddin, F. |
author_sort |
Maheran, A.H.A. |
title |
Statistical process modelling for 32nm high-K/metal gate PMOS device |
title_short |
Statistical process modelling for 32nm high-K/metal gate PMOS device |
title_full |
Statistical process modelling for 32nm high-K/metal gate PMOS device |
title_fullStr |
Statistical process modelling for 32nm high-K/metal gate PMOS device |
title_full_unstemmed |
Statistical process modelling for 32nm high-K/metal gate PMOS device |
title_sort |
statistical process modelling for 32nm high-k/metal gate pmos device |
publishDate |
2017 |
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http://dspace.uniten.edu.my:8080/jspui/handle/123456789/5212 |
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1644493616549199872 |
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13.222552 |