QuickSim: Efficient and Accurate Physical Simulation of Silicon Dangling Bond Logic

Jan Drewniok, Marcel Walter, Samuel Sze Hang Ng, Konrad Walus, Robert Wille

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Silicon Dangling Bonds have established themselves as a promising competitor in the field of beyond-CMOS technologies. Their integration density and potential for energy dissipation advantages of several orders of magnitude over conventional circuit technologies sparked the interest of academia and industry alike. While fabrication capabilities advance rapidly and first design automation methodologies have been proposed, physical simulation effectiveness has yet to keep pace. Established algorithms in this domain suffer either from exponential runtime behavior or subpar accuracy levels. In this work, we propose a novel algorithm for the physical simulation of Silicon Dangling Bond systems based on statistical methods that offers both a time-to-solution and an accuracy advantage over the state of the art by more than one order of magnitude and a factor of more than three, respectively, as demonstrated by an exhaustive experimental evaluation.

Original languageEnglish
Title of host publication2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023
PublisherIEEE Computer Society
Pages817-822
Number of pages6
ISBN (Electronic)9798350333466
DOIs
StatePublished - 2023
Event23rd IEEE International Conference on Nanotechnology, NANO 2023 - Jeju City, Korea, Republic of
Duration: 2 Jul 20235 Jul 2023

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
Volume2023-July
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380

Conference

Conference23rd IEEE International Conference on Nanotechnology, NANO 2023
Country/TerritoryKorea, Republic of
CityJeju City
Period2/07/235/07/23

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