electronics and energy applications of 1d and 2d nanomaterials · 2016-07-13 · e. pop electronics...
TRANSCRIPT
E. Pop
Electronics and Energy Applications of 1D and 2D Nanomaterials
Eric PopElectrical Engineering (EE) and Precourt Institute for Energy (PIE) Stanford University
http://poplab.stanford.edu
1
E. Pop
• Alumni:– Prof. D. Estrada, Drs. Z.-Y. Ong, A. Liao, J. Wood, Z. Li,
V. Dorgan, F. Xiong, Z. Li, E. Carrion, S. Islam, K. Grosse
– 8 M.S. and 10 B.S. theses
• Post-docs:– Feng Xiong, Yong Cheol Shin, Eilam Yalon, Miguel Munoz
• Grad students:
– C. English, F. Lian, S. Deshmukh, S. Bohaichuk
– M. Mleczko, C. Neumann, I. Datye, M. Chen, A. Gabourie
– K. Smithe, S. Suryavanshi, N. Wang, R.L. Xu, C. McClellan
• Undergrads:– Andrew, Tim, Job, Justin, Yeshar, Erin
• Sponsors:– National Science Foundation (NSF), Army Research Office (ARO)
– Air Force (AFOSR), Intel, STARnet-SONIC, SystemX Alliance
• Collaborators:– Z. Bao, K. Goodson, S. Mitra, Y. Nishi, E. Reed, K. Saraswat, H.-S.P. Wong (Stanford), D. Cahill, W. King,
J. Lyding, J. Rogers, M. Shim (UIUC), M. Rudan (Bologna), C. Jacoboni (Modena), M. Hersam (NWU), I. Knezevic (Wisc.), D. Jena (Cornell), D. Ielmini, R. Sordan (Milano), J. Shiomi (Tokyo)
Acknowledgements
2
http://poplab.stanford.edu
E. Pop
What Motivates Us
3
20 Watts
200 kiloWatts
(IBM Watson, Jeopardy! champion)
10,000x
(conventional Moore’s Law size scaling can get us ~10x)
E. Pop
Electronics Use (and Waste) Much Power
4
http://phys.ncku.edu.tw/~htsu/humor/fry_egg.html
1
10
100
1990 1994 1998 2002 2006 2010
AMD
Intel
Power PC
CP
U P
ower
Den
sity
(W
/cm
2)
Year
Pentium 4(2005)
Core 2 Duo(2006) Atom
(2008)
Single CPU?
energy limits performance from processors, to mobile devices, to data centers
Single Processor?E. Pop, Nano Research 3, 147 (2010)
new course: Energy in Electronics, EE 323 (Fall 2014)
Limited by power & heat since 2005!
~exp
E. Pop
Electronics Use (and Waste) Much Power
5
Calibrating: 1 GW ~ 1 nuclear power plant12 GW ~ all electricity used by Argentina
1
10
100
1990 1994 1998 2002 2006 2010
AMD
Intel
Power PC
CP
U P
ower
Den
sity
(W
/cm
2)
Year
Pentium 4(2005)
Core 2 Duo(2006) Atom
(2008)
Single CPU?Single Processor?
US data center*power use (GW)
*World-Wide about 30 GW
J. Koomey (Stanford)
E. Pop, Nano Research 3, 147 (2010)new course: Energy in Electronics, EE 323 (Fall 2014)
E. Pop
Our Work: Two Sides of the Same Coin
Lower power at its source
(devices, sensors, circuits)
6
Harvest and manage heat
(energy, thermoelectrics)
fundamental understanding
practical applications
E. Pop
Outline of Talk
• The SystemX Alliance at Stanford
• Transistors
– Heterogeneous integration of beyond-Si materials
• Data Storage
– Approaching limits of phase-change memory
• Thermal Energy at Nanoscale
– Ballistic heat flow and fundamental limits
7
E. Pop
What Is the SystemX Alliance at Stanford?• Center for Integrated Systems (CIS) SystemX Alliance
– Industry-academic Alliance to repositioned for 21st century research
– Become “the” hub for electronic research at Stanford
• What’s New?– Stronger emphasis of top-down, systems research
– Introduce focus areas to create coherent thrusts
– Additional sponsor benefits including workshops, E-Seminars
8
E. Pop
Value Proposition for Industry Sponsors• See everything that is going on at Stanford
– Real-time view of all faculty research, including NSF, DARPA, etc. activities
– Student recruiting, internships, and networking
• Participation in Focus Area research
– Invitation-only attendance to bi-annual workshop & discussion
• Customized Fellow-Mentor-Advisor (FMA) projects
– Company-specific research performed by student & advisor with industry mentor
• Faculty liaisons, company visits, and weekly E-Seminars
9
E. Pop
SystemX Focus Areas
• Focus areas change dynamically and have finite life-cycle (~3-5 years)
10
E. Pop
Heterogeneous Integration Focus Area• Heterogeneous Integration of Everything onto Anything (HIEA)
• Integration of “beyond-Si” platforms for “beyond Moore” applications– Monolithic integration of logic, memory, sensors, thermal management, flexible substrates
– Energy-efficient and brain-inspired design opportunities
– Autonomous electronics and energy-harvesting opportunities
• Core faculty: E. Pop, H.-S.P. Wong (co-leads), J. Fan, K. Goodson, S. Mitra, Y. Nishi, J. Plummer, K. Saraswat, D. Senesky, X. Zheng
11
E. Pop
Outline of Talk
• The SystemX Alliance at Stanford
• Transistors
– Integration of electronics based on 2D materials
• Data Storage
– Approaching limits of phase-change memory
• Thermal Energy at Nanoscale
– Ballistic heat flow and fundamental limits
12
E. Pop
Transistors Beyond Silicon?• Problem: 20th century transistors “carved” out of 3D materials (Si)
surface roughness restricts mobility, band gap, variability
13
roughness
tch
tch (nm)1 2 3 40
10
102
µ(c
m2 V
-1s-1
)
104
103
SOI
0.3 1 10 1000
0.5
1
1.5
2
2.5
GaAs
Si
Ge
InAs
InSb
tch (nm)
±1 atomic layer
EG
(eV
)
3D
E. Pop
Transistors Beyond Silicon?• Problem: 20th century transistors “carved” out of 3D materials (Si)
surface roughness restricts mobility, band gap, variability
• Solution? 21st centuryatomically thin materials
14
roughness
tch
1 2 3 40
10
102
104
103
CNTsgraphene
SOI
MoS2
WSe2
0.3 1 10 1000
0.5
1
1.5
2
2.5
GaAs
Si
Ge
InAs
InSb
±1 atomic layer
2DTMDs
1DCNTs
tch (nm)
µ(c
m2 V
-1s-1
)
tch (nm)
EG
(eV
)
<1 nm
1 nm
1D carbonnanotube (CNT)
2D TMD (MoS2,WTe2, ZrSe2)
3D
E. Pop
Beyond-Silicon 2D Materials
15
CVD growth of graphene, BN and MoS2
20 µm
ZrSe2 HfSe2
monolayer MoS2
A1g 194 cm-1
100 200 300 400Raman Shift (cm-1)
Inte
nsi
ty (
a.u
.)
10 µm
WTe2 (metallic)
MoTe2
BN
CVT growth of MoTe2, WTe2, ZrSe2, HfSe2
50 100 150 200 250 3000
0.5
1
1.5
2
2.5
3
3.5
4x 10
Raman Shift (cm-1)
Inte
ns
ity
(a.
u.)
~ ~~ ~
~ ~
3-6 Layer
Bulk
WTe2
exfoliate
collab. H.S.-P. Wong, Y. Nishi, I. Fisher
E. Pop
Heterogeneous Integration Progress
16
Monolithic 3D: low‐temperature 3D integration of CNT logic and RRAM memory on CMOS substrate
source: Shulaker, Wong, Mitra (IEDM-2014) source: K. Smithe (Pop Lab, 2015)
Wet or Dry Transfer: layer transfer of 2D monolayers onto insulators while preserving the electronic properties
Cu-assisted Dry Transfer
CuSiO2/Si SiO2/Si
CuCuSiO2/Si
New substrateCu
New substrateCu
MoS2Thermal Release Tape
CuSiO2/SiNew substrate
Cu etch
heat
peel
pressure
Cu
graphene
Cu
PMMA
Cu
PMMA
Cu etch
PMMA
PMMA-assisted Wet Transfer
PMMA
New substrate New substrate
acetone
E. Pop
Band Gaps (EG) of Several 2D Materials
• Low-EG but high mobility high-speed and RF applications
• Medium-EG (0.3 to 1.1 eV) low-power CMOS
• High-EG power devices
17
EG 0 eV 1 eV 2 eV
Graphene
Ge 0.67 eV Si 1.11 eV GaAs 1.42 eV
Black Phosphorus0.3 eV (Bulk) 1.1 – 1.9 eV (1L) Low-Power CMOS
~0.5-1.2 eV
Layered Insulatorsh-BN
WSe2, WS2, MoS2~1.4 – 1.8 eV 1L
High-Speed / RF Power Devices
courtesy of M. Mleczko (Pop Lab)
E. Pop
Early Work: Graphene Transport Parameters
18
• Lack of transport data* at T > 300 K and high-field vsat (>1 V/μm)
• High-field vsat measurement is tricky, needs constant field
• Also extracted practical electrical and thermal compact models
0 B ox SiT T T P R R R
V. Dorgan, M.-H. Bae, E. Pop, Appl. Phys. Lett. 97, 082112 (2010)
0 1
( , )1 / 1 / 1ref ref
n Tn n T T
300 400 5002500
3000
3500
4000
4500
5000
T (K)
(c
m2 /V
s)
5x1012 cm-2
n = 2x1012 cm-2
0 3 6 9 12 150
1
2
3
4
n (1012 cm-2)
v sat (
107 c
m/s
)
(c)ω
(a)
vsat,Si
vsat,Ge
(b)
2
2
2 1( , ) 1
4 1OP OP
satF OP
v n Tnv Nn
ωOP/vFkx
ky
*J.-H. Chen, Nature Nano (2008); W. Zhu, PRB (2009); I. Meric, Nature Nano (2008)
E. Pop
mobility = characterizes “ease” of current flow in a material; e.g. I nμE
Graphene Mobility – Where Does it Stand?
suspended graphene(T=230 K)
InSb
Si
Ge
graphene on SiO2
graphene on BN
T = 300 K
19
E. Pop
Today: Graphene-Based Functions and Systems• Goal: graphene switched analog circuit (SAC). Why?
• Graphene = nanofabrics with high mobility (~10x > Si), flexible…
• SAC tolerates low Ion/Ioff ratio (~5x) of graphene (no band gap)
• Breakthroughs in heterogeneous integration of graphene & CMOS
20
4” AixtronBlack Magic
System
Growth Chamber
E. Pop
Graphene Dot Product (GDOT) Nanofunction
• Dot product nanofunction used for image processing, neural networks…
• Takes advantage of native graphene properties, tolerates drawbacks
21
N. Wang, S. Gonugondla, I. Nahlus, N. Shanbhag, E. Pop, VLSI Symp. (2016)
1500300
15030
15
1.22.2
3.54.2
6.758
10.512.5
0
5
10
15
Err
or [%
]
1500300
15030
15
1.22.2
3.54.2
6.758
10.512.5
0
5
10
15
Err
or
[%]
Gaussian blur filter with σ2 = 0.85
-40
-35
-30
-25
-20
-15
-10
-5
0
180 nm CMOS 1 µm GFET
Noise [dB]
+ Fast+ Smaller area+ Low noise- Narrow input range
+ High accuracy+ Wide input range- Slow and noisy- Larger area
Idea: Simulation:
R’
C’
Φ1
Φ2
ΦN
Vout
R’C’ ≫ max(T,τFET)
Vx
V(t)
V1
V2
VN
Vout
t
T
Φ1(t)
Φ2(t)
TON,2
ΦN(t)
TON,N
TON,1
V1
V2
VN
t
t
t
weights encoded by pulse widths piT
E. Pop
… and Implementation
22
Test Structures
GDOT
RF
Cap TLM
Calib
RFCap
RF TLM
MOScaps MIMcap
4” Wafer Prototype Die
GDOT
E. Pop
CVD Growth of Monolayer MoS2
23
PTAS: perylene-3,4,9,10-tetracarboxylic acid tetrapotassium salt
90 nm SiO2/Si (p++)
Continuous, mostly 1L MoS2
optical
P = 760 TorrT = 850 oC
Y.-H. Lee, et al., Nano Lett. 13, 1852 (2013) Y.-H. Lee, et al., Adv. Mater. 24, 2320 (2012)
Kirby Smithe (Pop Lab)
E. Pop
Digital Electronics Monolayer CVD MoS2
• Large-area monolayer CVD MoS2, direct band gap ~1.8 eV
• Wish to scale up devices for low-power digital electronics
24
K. Smithe, C. English, S. Suryavanshi, E. Pop, Device Research Conf. (2015)
Good current achieved (~275 µA/µm) in 80 nm device, but contact resistance remains dominant
monolayer MoS2
E. Pop
Scaled Semiconducting MoS2 Transistors
25
Source: C. English, G. Shine, K. Saraswat, E. Pop, Nano Lett. (2016)
• Demonstrated how contacts are limiting the performance of small MoS2 transistors
• Built devices with ~40 nm channel length and variable contact sizing (LC = 20 to 100 nm)
• Smallest MoS2 transistor with smallest contacts to date (contacted gate pitch CGP ~ 70 nm, smaller than “22 nm” Si technology from Intel and Samsung
Goal: Aggressively scale 2D transistors (e.g. MoS2) for ultra-low power digital electronics
E. Pop
Metal Contacts to MoS2 (Clean but Undoped)
• Contacting 2D materials is difficult
• Cleaner Au deposition (~10-9 torr) leads to improved contact resistance
– RC ~ 740 Ω∙μm and ρC ≈ 4 x 10-7 Ω∙cm2
26
0 250 500 750 10000
20
40
60
80
L (nm)
RTO
T (k
m)
2RC
5 µm
WL
d
VD
VG
0 2.5 5 7.5 100
2.5
5
7.5
10
n (1012 cm-2)
RC (
k
m)
Sc2
Ti
this work
Au
Au
Au1 10-9 torr
Dep. Press.10-6 torr
Ni1
C. English, G. Shine, V. Dorgan, K. Saraswat, E. Pop, Device Research Conf. (2014)
MoS2
1H.Liu & P. Ye (2013), 2S. Das & J. Appenzeller (2013)
Transfer Length Method (TLM)
E. Pop
0 0.5 1 1.5 2 2.5 30
2
4
6
8
Drain Voltage (V)
Dra
in C
urr
ent (
µA
/µm
)
WTe2
Ag
Ag
WTe2
2D Contacts to 2D Transistors
• WTe2 (2D metal) contacts to WSe2 (semic.)
• Residue-free transfer process
• 2x improvement over Ag contacts (“best known”)
• Observed current saturation
27
C. McClellan, M. Mleczko, Y. Nishi, E. Pop, Device Research Conf. 2016
SiO2/p++ Si
SiO2/p++ Si
WSe2
SiO2/p++ Si
WSe2
PDMSWTe2 WTe2
PDMSWTe2 WTe2
PDMSWTe2 WTe2WSe2
−10 −5 0 5 10 15
0
1
2
3
4
Gate - Threshold (VG-V
T) (V)
Dra
in C
urre
nt (
µA
/µm
) Drain Voltage = 1 V
E. Pop
Summary of Challenges in 2D Devices
28
Material Quality:
Contact Resistance (RC):
SiO2 (90 or 300 nm)
Si (p++)
VD VSVTG
VBG
L
W
Metals
Oxide
Graphene
Si (p++) VBG
LT
Metals
Si (p++)
High-κ
Substrate
Graphene
VBG
SiCGrowth
CVD[2][1]
Interfaces:
o Pre vac. annealo Post vac. anneal
tOFF
VD
VTG
tON,TGtON,D
Rprobe
RL
50 Ω
VP VTG
GFET
VD
VS
CprobeCpad
Scope
-8 -4 0 4 80.4
0.8
1.2
1.6
VTG [V]
R [
K
]
DC
tON,TG = 100 µs
= 10 µs
= 400 ns
(air)
(b)
0 100 2000
0.5
1
1.5
Time [ns]
V [
V]
d
tON,D
tON,TG
+Variability!E. Carrion, E. Pop et al, IEEE TED, 61, 1583 (2014)
E. Pop
Outline of Talk
• The SystemX Alliance at Stanford
• Transistors
– Integration of electronics based on 2D materials
• Data Storage
– Approaching limits of phase-change memory
• Thermal Energy at Nanoscale
– Ballistic heat flow and fundamental limits
29
E. Pop
Phase-Change Memory (PCM) Materials
• Chalcogenide compound: Ge2Sb2Te5 (GST)
• Used in RW-DVDs
• Crystalline vs. amorphous: fast phase change (~1 ns)
• Large change in resistance (>100x)
• Promising candidate for memory, BUT… high programming current(~0.1 mA at IBM, Intel, Samsung)
30
Rcrystalline << Ramorphous
Kolobov et al. Nature Materials (2004)Lee et al. Nature Nano (2007), Chen and Pop IEEE-TED (2009)
switching induced by Joule heating
E. Pop
Phase-Change Memory with CNT Electrodes
• Key idea: CNTs are smallest possible electrodes (1-2 nm diameter)
• Use CNT to contact sub-10 nm bits of phase-change material
• Switching at ~100x lower power than conventional PCM!
F. Xiong, A. Liao, D. Estrada, E. Pop, Science 332, 568 (2011)
31
carbon nanotube
(CNT)
also see. J. Liang, H.-S.P. Wong, et al., IEEE-TED (2012)
E. Pop
Self-Aligned Nanotube-Nanowire Devices
nanogapCNT covered
by PMMA
nanotrenchin PMMA
self-alignedGST nanowire
• “Marshmallow” memory bit optimized for thermal confinement
• PCM nanowire self-aligned with CNT electrodes
• Excellent ROFF/RON ratio (> 1000) approaches intrinsic GST limits
F. Xiong, M.-H. Bae, Y. Dai, A. Liao, A. Behnam, E. Carrion, S. Hong, D. Ielmini, E. Pop, Nano Lett. 13, 464 (2013)
32
~ 40 nm
CNT
PCMnanowire
0 2 4 6 80
0.2
0.4
0.6
0.8
1
V (V)
I (
A)
1st VT
10th VT
100th VT
0 2500 5000 7500 1000010-1100101102103104105
Time (s)
R (
M
)
AmorphousCrystalline
crystalline
amorphous
~2000
E. Pop
We Can Also Use Graphene Electrodes
• Graphene “edge” electrode enables sub-10 µA Ireset
• Heterogeneous integration challenges
33
A. Behnam, F. Xiong, E. Pop et al., Appl. Phys. Letters. 107, 123508 (2015)C. Ahn, S.W. Fong, Y. Kim, S. Lee, A. Sood, C. Neumann, K. Goodson, E. Pop, H.-S.P. Wong, Nano Lett. 15, 6809 (2015)
Lateral Device Vertical Device
• Graphene as ultra-thin thermal barrier to block PCM heat loss
• 40% lower Ireset than control devices
0 5 100.0
0.5
1.0
1.5
2.0 ON State Sweeps SET Sweeps
Cur
rent
A
)
Voltage (V)
(a)VT
IT
0 50 100 150 200
1
10
100
Time (sec)
OFF
ON
R (
kΩ·µ
m)
E. Pop
Where These Results Fit In
34
• These devices are highly scalable with electrode and bit size
• Lowest power <1 μW, energy <1 fJ/bit (with ~1 ns pulse)
• Have not hit fundamental limits yet (~10-100x lower… 1.2 aJ/nm3)*
*review: S. Raoux, F. Xiong, M. Wuttig, E. Pop, MRS Bull. (2014)
this work, withCNT electrodes
HSP Wong et al, Proc IEEE (2010)ITRS 2010
E. Pop
Outline of Talk
• The SystemX Alliance at Stanford
• Transistors
– Integration of electronics based on 2D materials
• Data Storage
– Approaching limits of phase-change memory
• Thermal Energy at Nanoscale
– Ballistic heat flow and fundamental limits
35
E. Pop
2D Material Thermal Properties
• Large in-plane thermal conductivity of graphene, BN (>500 W/m/K)
• Ultra-low cross-plane thermal conductivity of layered WSe2 (<0.1 W/m/K)
– Lower than plastics and comparable to air
• Huge thermal anisotropy in all layered 2D materials (>10-100x)
• MRS Bulletin review with AFRL:
• Large thermopower in TMDs (S ~ 0.5 mV/K) Thermoelectrics?
36
E. Pop, V. Varshney, A.K. Roy, "Thermal Properties of Graphene: Fundamentals and Applications," MRS Bulletin 37, 1273 (2012)
2S TZT
k
E. Pop
Thermal Conductivity (κ) of 2D Materials
• Flexural phonon modes play important role in 2D materials
• Anisotropy: κ|| from ~6 Wm-1K-1 (WTe2) to ~2000 Wm-1K-1 (graphene)
– Cross-plane κ is typically very small, e.g. 1 to 6 Wm-1K-1
37
E. Pop, V. Varshney, A. Roy, MRS Bull. 37, 1273 (2012); Table courtesy of Z. Li (Pop Lab)
κ(W
m-1
K-1
) susp
en
de
d
GN
Rs
T ~ 300 K
WS
2
MoS
e 2
blac
k ph
osph
orus
h-B
Nsup
po
rte
d
en
case
d
gra
phite
h-B
N
MoS
2
WS
e 2
MoS
2
gra
phite
in-plane cross-plane
graphene
Q”= -κT
heat flux thermal
conductivity
T gradient
E. Pop
Heat (and Current) Flow in Nanoscale Samples
• Macroscale, R is additive: 1 + 1 = 2
• Nanoscale, R is quantized: 1 + 1 = 1
– Occurs when system size is comparable to electron or phonon (heat) wavelengths and mean free path (10-100 nm)
– Both electrical and thermal resistance can be quasi-ballistic
resistance R
size L
R = L/(σA)
nanoscale
38
conductivity (σ or k)
size L
σ,k = const.
σ,k L
macroscalemacroscale
quantized, ballistic
225.8 kΩb
M hR
q
E. Pop
Heat Flow in Nanoscale Graphene
∆T (K)1010.1
290 nm SiO2 Silicon
graphenenanoribbons
M.-H. Bae, Z. Li, Z. Aksamija, P. Martin, F. Xiong, Z.-Y. Ong, I. Knezevic, E. Pop, Nature Comm. 4, 1734 (2013)
10 100 1000 1000010
100
1000
k (W
m-1K
-1)
W (nm)
T = 300 K
T = 190 K
T = 150 K
T = 70 K
edge limited
substrate limited
~200 nm
10 100 1000 100000
100
200
300
400
500
600
700
k (W
m-1K
-1)
L (nm)
ballisticlimit kball
100 K
W2
39
Bulk thermal properties do not apply at <1 µm!
Thermal conductivity k(T) = f(W,L) even at room T– 35% (quasi-)ballistic heat flow in short devices (λ ~ 100 nm)
– Strong edge scattering in narrow devices
“short” (quasi-ballistic) “long” (diffusive + edges)
E. Pop
Looking Ahead: Future OpportunitiesCould we:
– Exploit anisotropy for routing heat? (thermal diode)
– Separate thermal and electrical flow? (thermal transistor)
– Design electronics with built-in thermoelectric cooling?
– Achieve transparent heat spreaders and flexible thermoelectrics?
40
collab: E. Reed, K. Goodson, K. Saraswat, H.-S.P. Wong, Y. Cui
E. Pop
Looking Ahead: Future OpportunitiesCould we:
– Exploit anisotropy for routing heat? (thermal diode)
– Separate thermal and electrical flow? (thermal transistor)
– Design electronics with built-in thermoelectric cooling?
– Achieve transparent heat spreaders and flexible thermoelectrics?
41
( )
1
3
9 Pristine MoS2
0 2 4 6 8
G(M
W/m
2 /K
)
Time (min)
Al / MoS2Li
electrolyte LiPF6
Thermal Switching
A. Sood, F. Xiong, […], E. Pop, Spring MRS (2015)
collab: E. Reed, K. Goodson, K. Saraswat, H.-S.P. Wong, Y. Cui
E. Pop
Summary• Moore’s Law ~10x
• Energy scaling & harvesting ~104x
• Opportunity for convergence of:
– Novel nanomaterials
– Low power devices
– Anisotropy, ballistic, thermoelectric
• Understand fundamental limits
• Future opportunities
42
slowing down
exciting
http://[email protected]