TY - GEN
T1 - Unifying Figures of Merit
T2 - 24th IEEE International Conference on Nanotechnology, NANO 2024
AU - Drewniok, Jan
AU - Walter, Marcel
AU - Hang Ng, Samuel Sze
AU - Walus, Konrad
AU - Wille, Robert
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - As Silicon Dangling Bond (SiDB) logic emerges as a promising beyond-CMOS technology, Figures of Merit (FoMs) to assess gate performance become crucial in implementing devices that are robust against environmental variations. Con-structing robust SiDB logic involves designing gates that excel across multiple FoMs. However, there exist no clear guidelines on the ideal ranges for FoM values, nor a systematic approach to designing SiDB gates that optimize across multiple FoMs. Motivated by this, this work focuses on addressing the following key objectives: 1) Introduction of a new FoM, called Band Bending Resilience. 2) Determination, presentation, and detailed discussion on the best achievable values for each FoM for all 2-input Boolean functions. 3) Presentation of the versatile cost function χ, unifying multiple FoM s tailored to specific application requirements and priorities. 4) Implementation of the optimization strategy using the cost function χ, which aims at designing SiDB logic with minimal cost, ensuring an optimal balance between all FoMs. Overall, this research contributes significantly to the understanding of SiDB logic, establishing a basis for future progress in the field.
AB - As Silicon Dangling Bond (SiDB) logic emerges as a promising beyond-CMOS technology, Figures of Merit (FoMs) to assess gate performance become crucial in implementing devices that are robust against environmental variations. Con-structing robust SiDB logic involves designing gates that excel across multiple FoMs. However, there exist no clear guidelines on the ideal ranges for FoM values, nor a systematic approach to designing SiDB gates that optimize across multiple FoMs. Motivated by this, this work focuses on addressing the following key objectives: 1) Introduction of a new FoM, called Band Bending Resilience. 2) Determination, presentation, and detailed discussion on the best achievable values for each FoM for all 2-input Boolean functions. 3) Presentation of the versatile cost function χ, unifying multiple FoM s tailored to specific application requirements and priorities. 4) Implementation of the optimization strategy using the cost function χ, which aims at designing SiDB logic with minimal cost, ensuring an optimal balance between all FoMs. Overall, this research contributes significantly to the understanding of SiDB logic, establishing a basis for future progress in the field.
UR - http://www.scopus.com/inward/record.url?scp=85203153402&partnerID=8YFLogxK
U2 - 10.1109/NANO61778.2024.10628671
DO - 10.1109/NANO61778.2024.10628671
M3 - Conference contribution
AN - SCOPUS:85203153402
T3 - Proceedings of the IEEE Conference on Nanotechnology
SP - 91
EP - 96
BT - 2024 IEEE 24th International Conference on Nanotechnology, NANO 2024
PB - IEEE Computer Society
Y2 - 8 July 2024 through 11 July 2024
ER -