Multi-objective optimization of doping profile in semiconductor design GECCO track: Real world applications

Giovanni Stracquadanio*, Concetta Drago, Vittorio Romano, Giuseppe Nicosia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A crucial task in designing semiconductor devices is to provide a doping profile that assures specific electrical properties. This research work is focused in redesigning doping profiles of semiconductor devices in order to obtain an increased output current; however, large doping levels can degenerate the devices and hence a trade-off between doping profile deviation and output current should be found. The doping profile optimization in semiconductor has been tackled as a multi-objective optimization problem using the Nondominated Sorting Genetic Algorithm (NSGA-II). We focus on silicon diodes and MOSFET devices; firstly, we redesign the doping profile of diodes in order to obtain a trade-off between doping profile deviation and output current. Secondly, we find a trade-off between current and temperature for a MOSFET device. The experimental results confirm the effectiveness of the proposed approach to face this class of problems in electronic design automation.

Original languageEnglish
Title of host publicationProceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
Pages1243-1250
Number of pages8
DOIs
Publication statusPublished - 27 Aug 2010
Event12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 - Portland, OR, United States
Duration: 7 Jul 201011 Jul 2010

Conference

Conference12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010
CountryUnited States
CityPortland, OR
Period7/07/1011/07/10

Keywords

  • Electronic design automation
  • Multi-objective optimization
  • Semiconductor design

Fingerprint Dive into the research topics of 'Multi-objective optimization of doping profile in semiconductor design GECCO track: Real world applications'. Together they form a unique fingerprint.

Cite this