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Comparison of Miller compensated opamps designed using planar MoS and FinFET transistors

Publication Type : Conference Paper

Publisher : 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015

Source : 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, Institute of Electrical and Electronics Engineers Inc. (2015)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965022322&partnerID=40&md5=e65893f0313248d20160e1580b0483f5

ISBN : 9781479978489

Keywords : Analog integrated circuits, Artificial intelligence, FinFET, FinFET devices, Gain-bandwidth products, Miller compensation, Molybdenum compounds, MOS technology, MOSFET devices, Operational amplifier (opamp), Operational amplifiers, Short-channel effect, Supply voltages

Campus : Bengaluru

School : Dept. of Mass Communication

Year : 2015

Abstract : pDue to continuous decrease in channel length of the transistor and reduction in the supply voltages, design of operational amplifier (opamp) poses new challenges [1]. Because of the short channel effects limitations in the planar MoS technologies, alternative device structures have been developed and among those FinFET is the most prominent one. Hence, in this study we wanted to explore those advantages of FinFET over MosFET for analog IC design and hence we have designed Miller compensated opamp using 90nm MoS and 32nm FinFET devices. These were evaluated for parameters like power, voltage gain, phase margin, Gain Bandwidth Product (GBW), and slew rate. The results show that FinFET based opamp is better than MoS based opamp in many aspects, about which we have briefed in the comparison and conclusion section of the paper i.e. Section V of the paper. © 2015 IEEE./p

Cite this Research Publication : K. T. Thoomu, Adapa, N. K., Lekkala, S. A. R., and Dr. N.S. Murty, “Comparison of Miller compensated opamps designed using planar MoS and FinFET transistors”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.

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