TY - JOUR
AU1 - Abbasian, Erfan
AU2 - Gholipour, Morteza
AU3 - Izadinasab, Farzaneh
AB - Graphene nanoribbon and transition metal dichalcogenide field‐effect transistors (GNRFETs and TMDFETs) have emerged as favorable candidates to replace conventional metal‐oxide‐semiconductor (MOS) transistor in future technologies. Their competence must be proven through the study and evaluation of various circuits, including static random access memories (SRAMs). Therefore, this paper presents a single‐ended 12T (SE12T) SRAM cell designed using GNRFETs and TMDFETs to evaluate their performance. The proposed SE12T cell designed with GNRFETs/TMDFET device improves read static noise margin by 1.95×/3.20× and incurs a penalty of 1.16×/1.14× in read delay compared to the GNRFETs/TMDFET‐based fully differential 8T cell through a read buffer, decoupling the bitline from the storing nodes during the read operation. Furthermore, two transmission gates (TGs) placed inside the cell core cut off the feedback of cross‐coupled inverters pair during the write operation, enhancing write static noise margin by 1.65×/1.71×. These two TGs along with high logic level of virtual ground (VGND) control signal during hold mode reduce leakage power. Existence of a higher number of p‐type MOS (PMOS) devices, the presence of stacked transistors, and being single‐ended bitcell further reduce this metric, nearly 1.48×/1.17× designed with GNRFETs/TMDFET device as compared to FD8T. Furthermore, it is observed from the results that GNRFET‐based designs have better performance than those of their TMDFET counterparts. The proposed cell eliminates write half‐select disturb, and therefore, bit‐interleaving architecture can be applied to reduce multi‐bit errors.
TI - Performance evaluation of GNRFET and TMDFET devices in static random access memory cells design
JF - International Journal of Circuit Theory and Applications
DO - 10.1002/cta.3108
DA - 2021-11-01
UR - https://www.deepdyve.com/lp/wiley/performance-evaluation-of-gnrfet-and-tmdfet-devices-in-static-random-JgDjHaYN7B
SP - 3630
EP - 3652
VL - 49
IS - 11
DP - DeepDyve
ER -