Low Power based Dynamic TSPC D flip flop for High Performance Applications
Shruti Shrivastava1, Usha Chauhan2, Mohammad Rashid Ansari3

1Shruti Shrivastava, M. Tech Scholar, Department of ECE, SEECE Galgotias University, Greater Noida, UP, India.
2Usha Chauhan, Department of ECE, SEECE Galgotias University, Greater Noida, UP, India.
3Mohammad Rashid Ansari* Department of ECE, SEECE, Galgotias University, Greater Noida, UP, India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on June 10, 2020. | PP: 758-762 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6666069820/2020©BEIESP | DOI: 10.35940/ijitee.H6666.069820
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Abstract: D flip-flop is viewed as the most basic memory cell in by far most of computerized circuits, which brings it broad usage, particularly under current conditions where high-thickness pipeline innovation is as often as possible utilized in advanced coordinated circuits and flip-flop modules are key segments. As a constant research center, various sorts of zero flip-flops have been concocted and explored, and the ongoing exploration pattern has gone to rapid low-control execution, which can be come down to low power-defer item. To actualize superior VLSI, picking the most proper D flip-flop has clearly become an incredibly huge part in the structure stream. The quick headway in semiconductor innovation made it practicable to coordinate entire electronic framework on a solitary chip. CMOS innovation is the most doable semiconductor innovation yet it neglects to proceed according to desires past and at 32nm innovation hub because of the short channel impacts. GNRFET is Graphene Nano Ribbon Field Effect Transistor, it is seen that GNRFET is a promising substitute for low force application for its better grasp over the channel. In this paper, an audit on Dynamic Flip Flop and GNRFET is introduced. The power is improved in the proposed circuit for the D flip flop TSPC. 
Keywords: D Flip Flop, GNRFET, VLSI, Nano technology.
Scope of the Article: VLSI Algorithms