caa a22 4500 445820721 CHVBK 20180317145243.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s10825-011-0349-8 doi (NATIONALLICENCE)springer-10.1007/s10825-011-0349-8 Subthreshold behavior optimization of nanoscale Graded Channel Gate Stack Double Gate (GCGSDG) MOSFET usingmulti-objective genetic algorithms [Elektronische Daten] [T. Bendib, F. Djeffal, D. Arar] In this paper, a multi-objective genetic algorithms-based approach is proposed to study and optimize the subthreshold behavior of Graded Channel Gate Stack Double Gate (GCGSDG) MOSFET for nanoscale CMOS digital applications. The subthreshold parameters such as threshold voltage, drain induced barrier lowering (DIBL), subthreshold swing and OFF-current have been ascertained and mathematical models have been proposed. The proposed mathematical models are used to formulate the objectives functions, which are the pre-requisite of genetic algorithm. The overall objective function is formulated by means of weighted sum approach. Thus, the proposed approach is used to search for optimal subthreshold parameters to obtain better electrical performances of the devices for digital application. Springer Science+Business Media LLC, 2011 Nanoscale nationallicence DG MOSFET nationallicence Multi-objective nationallicence Optimization nationallicence Genetic algorithms nationallicence Bendib T. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut Djeffal F. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut Arar D. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut Journal of Computational Electronics Springer US; http://www.springer-ny.com 10/1-2(2011-06-01), 210-215 1569-8025 10:1-2<210 2011 10 10825 https://doi.org/10.1007/s10825-011-0349-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10825-011-0349-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bendib T. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut NATIONALLICENCE 700 1- Djeffal F. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut NATIONALLICENCE 700 1- Arar D. LEA, Department of Electronics, University of Batna, 05000, Batna, Algeria aut NATIONALLICENCE 773 0- Journal of Computational Electronics Springer US; http://www.springer-ny.com 10/1-2(2011-06-01), 210-215 1569-8025 10:1-2<210 2011 10 10825 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer