Research output per year
Research output per year
Jan Drewniok, Marcel Walter, Samuel Sze Hang Ng, Konrad Walus, Robert Wille
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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 language | English |
---|---|
Title of host publication | 2023 IEEE 23rd International Conference on Nanotechnology, NANO 2023 |
Publisher | IEEE Computer Society |
Pages | 817-822 |
Number of pages | 6 |
ISBN (Electronic) | 9798350333466 |
DOIs | |
State | Published - 2023 |
Event | 23rd IEEE International Conference on Nanotechnology, NANO 2023 - Jeju City, Korea, Republic of Duration: 2 Jul 2023 → 5 Jul 2023 |
Name | Proceedings of the IEEE Conference on Nanotechnology |
---|---|
Volume | 2023-July |
ISSN (Print) | 1944-9399 |
ISSN (Electronic) | 1944-9380 |
Conference | 23rd IEEE International Conference on Nanotechnology, NANO 2023 |
---|---|
Country/Territory | Korea, Republic of |
City | Jeju City |
Period | 2/07/23 → 5/07/23 |
Research output: Non-textual form › Software