A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor
This study explores dimensional optimization at different high logic-level voltages for six silicon nanowire transistor (SiNWT)-based static random-access memory (SRAM) cell. This study is the first to demonstrate diameter and length of nanowires with different logic voltage level (Vdd) optimization...
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ump-150452017-11-29T02:54:48Z http://umpir.ump.edu.my/id/eprint/15045/ A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor Hashim, Yasir TK Electrical engineering. Electronics Nuclear engineering This study explores dimensional optimization at different high logic-level voltages for six silicon nanowire transistor (SiNWT)-based static random-access memory (SRAM) cell. This study is the first to demonstrate diameter and length of nanowires with different logic voltage level (Vdd) optimizations of nanoscale SiNWT-based SRAM cell. Noise margins and inflection voltage of butterfly characteristics are used as limiting factors in this optimization. Results indicate that optimization depends on nanowire dimensions and Vdd. The increase in Vdd from 1 V to 3 V tends to decrease the dimensions of the optimized nanowires but increases the current and power. SRAM using nanowire transistors must use Vdd of 2 or 2.5 V to produce SRAM with lower dimensions, inflection currents, and power consumption. American Scientific Publishers 2017-02 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15045/1/16JNN-12608.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15045/7/ftech-yasir-2017.pdf Hashim, Yasir (2017) A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor. Journal of Nanoscience and Nanotechnology, 17 (2). pp. 1061-1067. ISSN 1533-4880 (Print); 1533-4899 (Online) https://doi.org/10.1166/jnn.2017.12608 doi: 10.1166/jnn.2017.12608 |
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TK Electrical engineering. Electronics Nuclear engineering Hashim, Yasir A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
description |
This study explores dimensional optimization at different high logic-level voltages for six silicon nanowire transistor (SiNWT)-based static random-access memory (SRAM) cell. This study is the first to demonstrate diameter and length of nanowires with different logic voltage level (Vdd) optimizations of nanoscale SiNWT-based SRAM cell. Noise margins and inflection voltage of butterfly characteristics are used as limiting factors in this optimization. Results indicate that optimization depends on nanowire dimensions and Vdd. The increase in Vdd from 1 V to 3 V tends to decrease the dimensions of the optimized nanowires but increases the current and power. SRAM using nanowire transistors must use Vdd of 2 or 2.5 V to produce SRAM with lower dimensions, inflection currents, and power consumption. |
format |
Article |
author |
Hashim, Yasir |
author_facet |
Hashim, Yasir |
author_sort |
Hashim, Yasir |
title |
A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
title_short |
A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
title_full |
A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
title_fullStr |
A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
title_full_unstemmed |
A New Approach for Dimensional Optimization of Inverters in 6T-Static Random-Access Memory Cell Based on Silicon Nanowire Transistor |
title_sort |
new approach for dimensional optimization of inverters in 6t-static random-access memory cell based on silicon nanowire transistor |
publisher |
American Scientific Publishers |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/15045/ http://umpir.ump.edu.my/id/eprint/15045/ http://umpir.ump.edu.my/id/eprint/15045/ http://umpir.ump.edu.my/id/eprint/15045/1/16JNN-12608.pdf http://umpir.ump.edu.my/id/eprint/15045/7/ftech-yasir-2017.pdf |
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2023-09-18T22:19:19Z |
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2023-09-18T22:19:19Z |
_version_ |
1777415549740908544 |