Performance evaluation of Carbon Nanotube based devices and circuits for VLSI design

45
Performance evaluation of Carbon Nanotube based devices and circuits for VLSI design Presented by: Under the Guidance of: Gaurav Soni Mr. Sanjeev Agrawal 2011PEV5030 Associate Professor VLSI Design ECE Dept., MNIT A Presentation on

Transcript of Performance evaluation of Carbon Nanotube based devices and circuits for VLSI design

Performance evaluation of Carbon Nanotube based devices and circuits

for VLSI design

Presented by: Under the Guidance of: Gaurav Soni Mr. Sanjeev Agrawal

2011PEV5030 Associate ProfessorVLSI Design ECE Dept., MNIT

A Presentation

on

Contents:1) Today’s requirements2) Why Carbon Nanotube?3) Carbon Electronics.4) Geometrical parameters of a Nanotube.5) Types of Nanotube and their application

in VLSI.6) CNT Field Effect Transistor.7) Simulation and Results.8) Conclusion.9) Challenges.10)References.

10/22/20222

Today’s Requirements

10/22/20223

Ultra high speed processors.Portable devices (low chip area).More functionality.Low power consumption.

“To fulfill above requirements we need to scale the devices and interconnects and follow Moore’s law.”

Why Carbon Nanotube (CNT)?

Problems in CMOS device scaling:Short channel effects (SCEs)-DIBL, velocity saturation,

mobility degradation.Leakage currents.Channel length and doping control.

Problems in copper interconnect scaling:Electro-migration-Grain boundary scattering, Surface

scattering.Hillock and void formationDiffusion barrier width.

10/22/20224

10/22/20225

Why Carbon Nanotube (CNT)?

Electrical properties: high speed, compatibility with high-k dielectric layer, reduced short channel effects (SCEs), high current densities.

Physical properties: ideal candidate for nanotechnology due to small size (nm), strongest material.

Thermal properties: high thermal conductivity than copper. Hence, more tolerant to electro migration.

A promising candidate for future CMOS circuits and interconnects.

10/22/20226

Carbon Allotropes

10/22/20227

Carbon Electronics

10/22/20228

2-D Honeycomb lattice structure

Carbon Nanotube

Carbon Electronics

10/22/20229

2-D hexagonal Brillouin zone

Mobility of electrons and holes in graphene is equal, hence, high speed .

Band structure

10/22/202210

Chirality = (6,6)

Chirality= (7,0)

Depending on their band gap, the CNTs are either metallic or semiconducting. Metallic nanotubes are suitable as interconnects and semiconducting are suitable as transistor channel.

Ninithi Software

10/22/202211

10/22/202212

(10,0)

(19,0)

(18,0)

(19,50)

Geometrical parameters

10/22/202213

Geometrical parameters:1. Chiral vector

C.2. Translational

vector T.3. Chiral angle θ.

C = 3a1+3a2= (3, 3)Hence (n, m)= (3,3)

(n, m)= Chiral indices

Chiral and Achiral Carbon Nanotube

10/22/202214

Carbon Nanotube types: A-Armchair; B-Zig-Zag; C-Chiral

For armchair: n=mFor zigzag: n=0 or m=0Chiral : n ≠m ≠0

Diameter of Nanotube

10/22/202215

Here, ‘a’ is lattice constant of graphene=0.246nm

Different chiralities can produce the same nanotube diameter. Hence diameter is not a unique parameter for characterizing CNTs.

If (n, m)= (19,0) then diameter= 1.489nm~1.5nm

Types of NanotubeDepending on the number of concentrically rolled up shells, CNTs can be further classified as:

SWCNT (Single walled CNTs) andMWCNT (Multi-walled CNTs)

10/22/202216

CNTFET-technology

10/22/202217

The operation principle and the device structure are similar to CMOS devices.

We can reuse the established CMOS design infrastructure and CMOS fabrication process.

CNTFET has the best experimentally demonstrated device current carrying ability.

CNT Field Effect Transistor

10/22/202218

Semiconducting CNTs are grown on quartz or silicon substrate in a straight and parallel pattern.Segments which are covered by gate are intrinsic CNT regions.Drain and source segments of CNTs are heavily doped to form P-type or N-type transistor

CNT Field Effect Transistor

10/22/202219

CNT Field Effect Transistor

10/22/202220

Dielectric constant (SiO2, k2)=4, Gate dielectric (HfO2, k1)=16

Threshold voltage

10/22/202221

Vπ is carbon π to π bond energy (3.033 e V).

If (n, m)= (19,0), diameter = 1.489nm, then threshold voltage is 0.181 volts

CNTFET can work well at low supply voltages but the Si-MOSFET fails.

Multiple threshold circuit design possible using tubes of different diameter.

Simulation and Results

CNTFET Parameters used:1. Chirality= (19,0)2. Pitch(S)= 20nm.3. Diameter= 1.5nm4. Threshold voltage (N-CNTFET)= -0.1815. Threshold voltage (P-CNTFET)= 0.1816. No. of tubes(N)=3 7. Length=32nm8. Width=N*S=60nm9. Supply voltage=0.9V10. Load capacitance=20fF.

10/22/202222

Si-MOSFET Parameters used:1. Length=32nm2. Width (NMOS)=64nm3. Threshold voltage (NMOS)=

0.50884. Threshold voltage (PMOS)=

-0.455. (W/L)PMOS=3*(W/L)NMOS

6. Supply voltage=0.9V.7. Load capacitance=20fF.

For comparison of CNTFET and Si-MOSFET technology: Stanford University’s CNFET model and 32nm bulk BSIM-PTM model is used.

For performance evaluation power–delay product (PDP) metric is used. Power-delay product is a figure of merit for digital technologies. Its unit is joules.

Note: The sizing of a CNTFET is equivalent to adjusting the number of tubes.

Assumption

10/22/202223

CNTFETs are made of homogeneous, identical CNTs (i.e. well aligned parallel semiconducting CNTs that have the same chirality, same doping level and same inter-CNT pitch).

Inverter

10/22/202224

10/22/202225

INVERTERTechnology Avg. power (in

watts)(from 1ns to 5ns)

Delay (in ps) PDP (in joules)

Si-MOSFET(supply=0.6V)

0.991 µW 24.858 24.634*10-18

Si-MOSFET(supply =0.9V)

2.199 µW 5.1916 11.416*10-18

CNTFET(supply=0.6V)

1.025 µW 1.3782 1.413*10-18

CNTFET(supply=0.9V)

2.201µW 1.0809 2.379*10-18

Effect of Chirality

10/22/202226

Chiral Number Average Power Delay

(5,5) 1.8871µw 5.3822ps

(10,0) 2.2068µw 3.6467ps

(10,5) 2.5301µw 2.1653ps

(19,0) 2.2015µw 1.0809ps

(19,5) 2.2465µw 1.1392ps

(19,19) 2.5037µw 0.9268ps

(18,0) 2.2572µw 1.3984ps

For supply voltage =0.9V, no. of tubes=3, pitch= 20nm

Effect of No. of tubes

10/22/202227

Number of tubes Average Power Consumption

Delay

1 2.187µw 1.078ps2 2.221µw 1.075ps3 2.202µw 1.080ps4 2.233µw 1.082ps5 2.233µw 1.083ps6 2.252µw 1.084ps7 2.275µw 1.084ps8 2.230µw 1.084ps9 2.275µw 1.085ps10 2.331µw 1.085ps20 3.611µw 1.086ps30 4.036µw 1.086ps50 5.245µw 1.086ps70 6.886µw 1.087ps100 8.797µw 1.046psFor supply voltage=0.9V, pitch= 20nm,

chirality=(19, 0)

Effect of Pitch

10/22/202228

Pitch Average power Delay4nm 2.1506µw 1.3291ps6nm 2.1701µw 1.4919ps8nm 2.1808µw 1.1518ps12nm 2.2100µw 1.1091ps16nm 2.2003µw 1.0905ps20nm 2.2015µw 1.0809ps30nm 2.2019µw 1.0709ps40nm 2.2022µw 1.0673ps50nm 2.2023µw 1.0656ps

For supply voltage=0.9V, chirality= (19,0), no. of tubes=3

FO4 Inverter

10/22/202229

Fan–out of 4 is a process-independent delay-metric used in digital CMOS technologies.

10/22/202230

FO4-INVERTER

Technology Delay (in ps)

Si-MOSFET(Size of successive inverters in ratio 1:4:16:64:256)

15.151

CNTFET (For no. of tubes in successive inverters in ratio 1:4:16:64:256)

2.648

CNTFET(For no. of tubes in successive inverters in ratio 3:12:48:192:768)

2.543

Increasing the number of tubes in CNTFET decreases the delay.

NAND Gate

10/22/202231

NAND GATE

Technology Avg. power (in watts)

Delay (in ps) PDP (in joules)

Si-MOSFET 1.4180*10-7 11.788 16.7154*10-19

CNTFET 0.9766*10-7 5.0012 4.8842*10-19

NOR Gate

10/22/202232

NOR GATE

Technology Avg. power (in watts)

Delay (in ps) PDP (in joules)

Si-MOSFET 1.3456*10-7 9.5237 12.815*10-19

CNTFET 0.7323*10-7 6.3952 4.683*10-19

EX-OR Gate

10/22/202233

EX-OR GATE

Technology Avg. power (in watts)

Delay (in ps) PDP (in joules)

Si-MOSFET 1.428*10-7 16.941 24.192*10-19

CNTFET 0.67181*10-7 9.051 6.081*10-19

2:1 MUX

10/22/202234

2:1 MUX Technology Avg. power (in watts) Delay (in ps) PDP (in

joules)Si-MOSFET 2.1146*10-7 34.308 72.547*10-19

CNTFET 1.1147*10-7 11.552 12.770*10-19

Low power D-LATCH

10/22/202235

Truth table

D Q

0 0

1 1

10/22/202236

D-LATCH

Technology Avg. power (in watts)

Si-MOSFET 7.6005*10-7

CNTFET 0.7912*10-7

Low power SRAM Cell

10/22/202237

10/22/202238

10/22/202239

Technology Parameters Avg. power (in watts)

Si-MOSFET (W/L)PMOS = 3*(W/L)NMOS

(W/L)ACCESS NMOS = (W/L)NMOS3.2125*10-7

Si-MOSFET (W/L)PMOS = 3*(W/L)NMOS

(W/L)ACCESS NMOS = 5*(W/L)NMOS3.2331*10-7

CNTFET No. of tubes in allp-CNTFET=1 and n-CNTFET=1

and No.of tubes in access n-CNTFET=1

0.8035*10-7

CNTFET No. of tubes in allp-CNTFET=2 and n-CNTFET=2

and No.of tubes in access n-CNTFET=2

1.6345*10-7

CNTFET No. of tubes in allp-CNTFET=3 and n-CNTFET=3

and No.of tubes in access n-CNTFET=3

2.4293*10-7

CNTFET No. of tubes in allp-CNTFET=3 and n-CNTFET=3

and No.of tubes in access n-CNTFET=6

1.9923*10-7

Conclusion

10/22/202240

The power-delay product of CNT based devices and circuits is low as compared to Si-MOSFET based.

“CNT technology is a potential candidate for next generation VLSI design.”

Challenges

10/22/202241

•It is not possible to guarantee perfect alignment and positioning of all carbon nanotubes in large scale CNTFETs circuits. Mispositioned CNTs can cause incorrect logic functionality.

•Separation of metallic and semiconducting CNTs. Metallic CNTs can cause source to drain shorts inside CNTFETs.

•It is difficult to control the energy band gap of the nanotubes. The band gap of a CNT is dependent on its diameter and chirality, which is uncontrollable during growth.

10/22/202242

•The diameter variation also affects the threshold voltage.

•Variation in the density of grown CNTs.

•Susceptibility of CNTFETs to noise.

•High contact resistance with metal contacts.

References

10/22/202243

[1] Jie Zhang, Albert Lin, Nishant Patil, Hai Wei, Lan Wei, H.-S.P. Wong and Subhasish Mitra, “Robust Digital VLSI using Carbon Nanotubes”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol.31 ,no. 4, April 2012.[2] J. Deng and H.-S. P. Wong  “A compact SPICE model for carbon nanotube field effect transistors including non-idealities and its application-part I: Model of the intrinsic channel region”,  IEEE Trans. Elec. Dev.,  vol. 54,  no. 12,  pp.3186 -3194 2007.

[3] J. Deng and H. S. P. Wong  “A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application-part II: Full device model and circuit performance benchmarking”,  IEEE Trans. Elec. Dev.,  vol. 54,  no. 12,  pp.3195 -3205 2007. [4] Yuji Awano, Shintaro Sato, Mizuhisa Nihei, Tadashi Sakai, Yutaka Ohno and Takashi Mizutani, “Carbon Nanotubes for VLSI: Interconnect and Transistor Applications”, Proceedings of the IEEE, Volume: 98, Issue: 12, Dec. 2010 [5] Naushad Alam, A.K.Kureshi, M. Hasan and T. Arslan, “Carbon nanotube interconnects for low-power high-speed applications”, IEEE International Symposium on Circuits and Systems, 2009. ISCAS 2009.

10/22/202244

[6] Hong Li, Chuan Xu and Kaustav Banerjee, “Carbon Nanomaterials: The Ideal Interconnect Technology for Next-Generation ICs”, IEEE Design & Test of Computers, Volume: 27, Issue: 4, 2010.

[7] H.-S.P. Wong, S. Mitra, D. Akinwande, C. Beasley, Yang Chai, Hong-Yu Chen , Xiangyu Chen , G. Close, Jie Deng , A. Hazeghi, Jiale Liang, A. Lin, L.S. Liyanage, Jieying Luo, J. Parker, N. Patil, M. Shulaker, Hai Wei, Lan Wei and Jie Zhang , “ Carbon nanotube electronics - Materials, devices, circuits, design, modeling, and performance projection”, IEEE International Electron Devices Meeting (IEDM), Dec. 2011.[8] A Quick User Guide on Stanford University Carbon Nanotube Field Effect Transistors (CNFET) HSPICE Model v. 2.2.1, 2008.[9] S. M. Kang and Yusuf Leblebici, “CMOS Digital Integrated Circuits (Analysis and Design)”, 3rd ed. McGraw-Hill 2007. 

[10] H.-S.Philip Wong and Deji Akinwande, “Carbon Nanotube and Graphene Device Physics”, 1st ed. Cambridge University Press, 2011.

[11] R. Jacob Baker, “CMOS: Circuit Design, Layout, and Simulation”, 3rd. ed.Wiley 2010.[12] Franz Kreupl. Carbon Nanotubes in Microelectronic Applications, “Carbon Nanotube Devices: Properties, Modeling, Integration and Applications”, Christofer Hierold (Ed.), Wiley-VCH, 2008

10/22/202245

[13] Davood Fathi and Behjat Forouzandeh (2010). Interconnect Challenges and Carbon Nanotube as Interconnect in Nano VLSI Circuits,“Carbon Nanotubes”, Jose Mauricio Marulanda (Ed.), ISBN: 978-953-307-054-4, InTech.

[14] Mayank Rai and Sankar Sarkar (2011). Carbon Nanotube as a VLSI Interconnect, “Electronic Properties of Carbon Nanotubes”, Prof. Jose Mauricio Marulanda (Ed.), ISBN: 978-953-307-499-3, InTech.

[15] Rafael Vargas-Bernal and Gabriel Herrera-Pérez (2012). Carbon Nanotube- and Graphene Based Devices,Circuits and Sensors for VLSI Design,“VLSI Design”, Dr. Esteban Tlelo-Cuautle (Ed.), ISBN: 978-953-307-884-7, InTech.