Performance Optimization of Broadwell-Y Shaped Transistor Using Artificial Neural Network and Moth-Flame Optimization Technique

  • سال انتشار: 1397
  • محل انتشار: مجله مهندسی برق مجلسی، دوره: 12، شماره: 1
  • کد COI اختصاصی: JR_MJEE-12-1_008
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 251
دانلود فایل این مقاله

نویسندگان

Navneet Kaur

I. K. Gujral Punjab Technical University, Jalandhar, Punjab, India

Munish Rattan

Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

Sandeep Gill

Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

چکیده

FinFETs are the emerging ۳D-transistor structures due to strong electrostatic control of active channel by gate from more than one side which was not possible in conventional transistor. FinFET structures with rectangular and trapezoidal shape have been excessively analyzed in literature. In this work, FinFET with Broadwell-Y shape proposed by Intel, has been designed and simulated in Technology Computer Aided Design (TCAD). The performance of the designed device was optimized using Moth Flame Optimization (MFO) after the network was trained through Artificial Neural Network (ANN). Results obtained from MATLAB were in close agreement with those obtained from TCAD simulations. Output parameters like leakage current (IOFF) of ۲.۴۰۷e-۱۲, On-Off current ratio (ION/IOFF) of ۴.۵e۰۶, Subthreshold Swing (SS) of ۶۵.۴mV/dec and Drain Induced Barrier Lowering (DIBL) of ۳۷.۹mV/V were obtained after optimization. Short channel effects are improved for ۲۰nm gate length as SS is close to ideal value ۶۰mV/dec and DIBL is below ۱۰۰mV/V which makes this designed structure a good option for nanoscale applications.

کلیدواژه ها

FinFET, Moth-Flame Optimization (MFO), Artificial Neural Network (ANN), Drain Induced Barrier Lowering (DIBL), Subthreshold Swing (SS), Leakage Current, TCAD, MATLAB, Fin height, Gate length

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.