Abstract
As CMOS feature size approaches atomic dimensions, unjustifiable static power, reliability, and economic implications are exacerbating, prompting for research and development on new materials, devices, and/or computation paradigms. Within this context, Graphene Nanoribbons (GNRs), owing to graphene's excellent electronic properties, may serve as basic blocks for carbon-based nanoelectronics. En route to GNR-based logic circuits, the ability to externally control GNRs' conduction to map a basic Boolean logic function onto its electrical characteristics, with a high 1ON/1OFF ratio, and uncompromised carriers mobility, is the main desideratum. To this end, we augment a trapezoidal GNR with top gates as controlling inputs, and investigate its conductance G by means of the NEGF-Landauer formalism. Further, we demonstrate that the butterfly GNR can exhibit conduction maps (high G for logic “1”, and low G for logic “0”) capturing the functionality of 2 and 3-input Boolean gates, by properly adjusting its topology and dimensions. Our simulations prove butterfly GNR structure capability to capture basic Boolean logic transfer functions, while potentially providing 30× and 3000× smaller propagation delay and gate active area, respectively, when compared to 15 nm CMOS equivalent counterparts, establishing GNR's potential as basic building block for future graphene-based logic gates.
Original language | English |
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Title of host publication | 2018 IEEE International Symposium on Circuits and Systems (ISCAS) |
Subtitle of host publication | Proceedings |
Place of Publication | Piscataway, NY |
Publisher | IEEE |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-4881-0 |
ISBN (Print) | 978-1-5386-4882-7 |
DOIs | |
Publication status | Published - 2018 |
Event | ISCAS 2018: IEEE International Symposium on Circuits and Systems - Florence, Italy Duration: 27 May 2018 → 30 May 2018 http://www.iscas2018.org |
Conference
Conference | ISCAS 2018 |
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Abbreviated title | ISCAS 2018 |
Country/Territory | Italy |
City | Florence |
Period | 27/05/18 → 30/05/18 |
Internet address |
Keywords
- Graphene
- GNR
- Graphene-based Boolean Gates
- Carbon-Nanoelectronics