Full-quantum simulation of heterojunction TFET inverters ...Sb heterojunction. Subthreshold slope...

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Full - quantum s imulation of h eterojunction TFET i nverters p roviding b etter p erformance t han Multi - Gate CMOS at sub - 0.35V V DD E. Baravelli, E . Gnani, A. Gnudi, S. Reggiani, G. Baccarani Advanced Research Center on Electronic Systems (ARCES), Department of Electronics (DEIS) University of Bologna, Italy This work has been supported by the EU Grant No. 257267 (STEEPER) and the Italian Ministry via the “Futuro in Ricerca” Project (FIRB 2010).

Transcript of Full-quantum simulation of heterojunction TFET inverters ...Sb heterojunction. Subthreshold slope...

Page 1: Full-quantum simulation of heterojunction TFET inverters ...Sb heterojunction. Subthreshold slope and drain conductance are optimized by a suitable choice of the degeneracy level in

Full-quantum simulation of heterojunction

TFET inverters providing better performance

than Multi-Gate CMOS at sub-0.35V VDD

E. Baravelli, E. Gnani, A. Gnudi, S. Reggiani, G. Baccarani

Advanced Research Center on Electronic Systems (ARCES),

Department of Electronics (DEIS) – University of Bologna, Italy

This work has been supported by the EU Grant No. 257267 (STEEPER) and the Italian Ministry via the “Futuro in

Ricerca” Project (FIRB 2010).

Page 2: Full-quantum simulation of heterojunction TFET inverters ...Sb heterojunction. Subthreshold slope and drain conductance are optimized by a suitable choice of the degeneracy level in

E. GNANI 2ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Outline

Challenges of TFET design

Optimization of complementary hetero-junction

TFETs on the same technology platform

TFET-based inverter design and speed-

performance assessment

Comparison with CMOS logic

Conclusions

Page 3: Full-quantum simulation of heterojunction TFET inverters ...Sb heterojunction. Subthreshold slope and drain conductance are optimized by a suitable choice of the degeneracy level in

E. GNANI 3ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Challenges of TFET design

Simultaneously co-integrating n- and p-type

devices on the same technology platform.

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E. GNANI 4ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Design approach

The transmission probability is enhanced by an abrupt

InAs-Al0.05Ga0.95Sb heterojunction.

Subthreshold slope and drain conductance are

optimized by a suitable choice of the degeneracy level

in the source and drain.

Ambipolarity is controlled by drain engineering.

The gate length is set at 20 nm in order to prevent

direct source-to-drain tunneling; the cross section is

thus 7x7 nm wide.

Device optimization is carried out with a 3D full-

quantum k·p simulation code.

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E. GNANI 5ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Candidate devices

(Tn) 7nm-side n-TFET

(Tp) 7nm-side p-TFET

Al2O3 with EOT=1nm

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E. GNANI 6ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Device performance @ VDD=0.4 V

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E. GNANI 7ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Inverter configurations

0

1

2

3

I D [A

]

n-TFET (Tn2)

p-TFET (Tp1)

0 0.1 0.2 0.3 0.40

1

2

3

Vo [V]

I D [A

]

n-TFET (Tn2)

p-TFET (4Tp1)

|VGS

| = 0, ..., 0.4 V

| VGS

| = 0.05V

(a) I1 VTC construction

(b) I2 VTC construction

Inverter VTCs are constructed by combining ID-VDS families obtained by simulation in 0.05 VGS steps and non-linear Interpolation

Inv. I1Inv. I2

Vi

Vo

ID,p

ID,n

VDD

Tp

TnTn

Tp

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E. GNANI 8ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Static performance

I1 has asymmetric VTC due to strong ION unbalance between Tn2 and Tp1

This is compensated for in I2 by using 4xTp1

In I2, WFs of the 4 Tp1 devices are adjusted to have 4xIOFF, p=IOFF, n=IOFF, LOP

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E. GNANI 9ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Transient performance estimation

Device gate capacitance Cg is estimated from the

integrated charge of the whole device in the off

(QOFF) and on state (QON)

10% to 90% rise/fall times tr, f are computed by inte-

grating the drain currents at VGS = 0 V or VGS = |VDD|

(assuming instantaneous input transitions)

Miller effect expected to be significant for TFETs is

accounted for as CM = 2 ×Cgd , with Cgd ≈ 0.8 × Cg

→ Cload = 2.6 × (Cg,n + Cg,p) for a self-loaded inv.

,

Vi

Vo

ID,p

ID,n

VDD

pFET

nFET

Cgd

Cg,p

Cg,n

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E. GNANI 10ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

TFET-based I2 vs. CMOS

-0.4 -0.2 0 0.2 0.4

10-10

10-8

10-6

VGS

[V]

I D [A

]

Tn2

4xTp1

CMOS nFET

CMOS pFET

|VDS

| = 0.4 V

CMOS: 10nm FinFETs simulated using PTM-MG models in Spice

WFs adjusted to make IOFF (and static power) of FinFETs equal to that of TFETs

TFET shows advantage at low VDD (< 0.35 V)

10-7

10-5

10-3

I ON [A

/m

]

102

104

106

10-8

10-6

10-4

ION

/IOFF

I ON [A

/m

]

TFET (Tn2)

CMOS 10nm

(a) VDD

= 0.4 V

(b) VDD

= 0.25 VNode L GATE WFIN HFIN

10nm 14nm 9nm 21nm

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E. GNANI 11ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Comparison with CMOS @ VDD = 0.4 V

Miller effect and lower drive current make TFET inverter slower than CMOS under self-loading

Under constant loading, Miller capacitance is negligible, but CMOS is faster due to higher drive current at VDD = 0.4V

Rise/fall times under self-loading

TFET - I2b CMOS 10nm0

5

10

15

20

25

30

tr &

tf [p

s]

tr

tf

VDD

= 0.4 V

Rise/fall times under constant loading

1 1.5 2 2.5 3 3.5 4

0.5

1

1.5

2

Load Capacitance CL [fF]

tr &

tf [ns]

tr (TFET - I2b)

tf (TFET - I2b)

tr (CMOS)

tf (CMOS)

-0.4 -0.2 0 0.2 0.4

10-10

10-8

10-6

VGS

[V]

I D [A

]

Tn2

4xTp1

CMOS nFET

CMOS pFET

|VDS

| = 0.4 V

TFET

CMOS

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E. GNANI 12ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Comparison with CMOS @ VDD = 0.25 V

At VDD = 0.25V, TFET is substantially faster than CMOS in both self-loading and constant-loading

This is due to the drive current advantage (≈10x) associated with a steeper SS

Rise/fall times under self-loading

TFET - I2b CMOS 10nm0

100

200

300

400

tr &

tf [p

s]

tr

tf

VDD

= 0.25 V

Rise/fall times under constant loading

1 1.5 2 2.5 3 3.5 4

5

10

15

20

25

30

Load Capacitance CL [fF]

tr &

tf [ns]

tr (TFET - I2b)

tf (TFET - I2b)

tr (CMOS)

tf (CMOS)

-0.4 -0.2 0 0.2 0.4

10-10

10-8

10-6

VGS

[V]

I D [A

]

Tn2

4xTp1

CMOS nFET

CMOS pFET

|VDS

| = 0.4 V

7x

10x

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E. GNANI 13ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA

Summary

Optimized n- and p-type hetero-junction TFETs based on the

InAs/Al0.05Ga0.95Sb material pair have been designed

The p-type TFET design requires substantial improvements in both ION

current and drain conductance at low VDD

Comparison of TFET and CMOS inverter performance at the 10nm

technology node:

CMOS wins at VDD = 0.4 V BUT TFET largely wins at VDD = 0.25 V

The analysis did not consider: (i) strain to improve TFET performance,

(ii) carrier scattering, (iii) interface states.

the obtained results should be regarded as qualitative indicators

The rise/fall times at these limiting VDD values are expected to be of the

order of 10 ps or a few tens of ps for a self-loaded inverter

TFETs will find possible uses for low-power,

moderate-performance applications