Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ.

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Transcript Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ.

Network for Computational Nanotechnology (NCN)
Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP
Electronic and Thermal properties of
semiconductor nanostructures:
A modeling and simulation study
Abhijeet Paul
Network for Computational Nanotechnology
(NCN),
Electrical and Computer Engineering
Purdue University
email: [email protected]
Acknowledgements
• Overall guidance and direction
» Prof. Gerhard Klimeck, Prof. Mark Lundstrom, Purdue University, USA.
» Prof. Timothy Boykin, University of Alabama at Huntsville, USA (PhD committee
member).
» Prof. Leonid Rokhinson, Purdue University, USA (PhD committee member).
• Theory and Code development
» Dr. Mathieu Luisier, ETH Zurich, Switzerland (OMEN/OMEN-BSLAB development).
» Prof. Timothy Boykin, University of Alabama Huntsville, USA (Tight-Binding and solid
state phys. theory)
» Dr. Neophytos Neophytou, TU Wien, Austria (Initial MATLAB codes)
• Discussions and work
» Saumitra Mehrotra, Parijat Sengupta, Shuaib Salamat, Sunhee Lee, Lang Zeng, Mehdi
Salmani, Kai Miao, Dr. Raseong Kim and Changwook Jeong, Purdue University.
• .Experimental Collaborators
» Dr. Giuseppe Tettamanzi, TU Delft, Netherlands, Shweta Deora, IIT Bombay, India, Dr.
Subash Rustagi, IME, Singapore, Dr. Mark Rodwell, UCSB, USA.
• Summer Undergrad students (for nanohub tools)
» Junzhe Geng, Victoria Savikhin, Mohammad Zulkifli, and Siqi Wang, Purdue University.
• Funding and Computational Resources
» MSD-FCRP, SRC, NSF and MIND for funding.
» NCN and nanoHUB.org for computational resources.
Abhijeet Paul
2
PhD timeline and progress
Important experimental works that guided this PhD work.
[A] N. Singh et. al, EDL 2006 [B] A. Hochbaum et. al, Nature, 2008
Abhijeet Paul [C] Yu et. al, Nature, 2010. [D] Pernot et. al, Nature, 2010. 3
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
4
How to get more ???
Baseline CMOS: CPU, Memory, Logic
More Moore(MM)  Beyond Si
More than Moore(MtM)  Beyond CMOS
90
nm
65
nm
Analog
RF
Thermo
electricity
Sensor
Bio-chips
Added Functional Diversity: More interaction
45
nm
32
nm
22
Faster
nm
processing and better interaction with
environment holds the key to next-gen technologies.
MM and MtM are the solutions !!!
Abhijeet Paul
5
CMOS scaling challenges
CMOS challenges
ITRS
Intel
New device
structure
SiNW FET
New Materials
Next-gen CMOS scaling solutions More Moore
Abhijeet Paul
6
Why thermoelectricity ???
Nasty Problems
IEA, WEO,
2008
Green energy
Production by
thermoelectricity
Gelsinger et. al ISSCC 2001
On chip
thermoelectric
cooling (BiTe SL)
Automobile waste
heat thermoelectric
power generation
DEER
Choudhary et. al,
Nature nano. (2009)
www.tellurex.com
Green Solutions from thermoelectricity More than Moore
Abhijeet Paul
7
Dimensional Scaling: CMOS
III-V FET
IBM
Graphene
SiNW FET
CNT-FET
High-K
MG
Abhijeet Paul
3D
FETS
High-k
Metal Gate
Strain Technology
SiGe
strained
?
?
?
8
Non-Si
3D FETs
are a
solution
Dimensional scaling: Thermoelectricity
Electronic structure in nanostructures?
Atomic scale interface treatment ??
BiTe,PbTe
Bulk
ZT ~1
Phonons in nanostructures ??
Treatment of alloys at atomic level ??
???
??
?
electronic and thermal properties
BiTe/PbTe must !!
Abhijeet Paul
Dresselhaus et. al,
DOS engg.
(Bi,Sb),(Te,Se), PbTe,
Phonon Glass Electron crystal
Begin Semiconductor use
PbTe
Ddots
ZT > 3
LAST
Understanding
of<nano-scale
1< ZT
3
Qwell
Superlattice
Si /SiGe
NW SL
Si
Nanowires
SiGe/Si
QDot
Superlattice
9
Need for Atomic level modeling…
Material variation
at atomic scale
Quantum Dot
Intel
SiGe
pMOSFET
IEDM 2010
Atomic scale
strain variation
Si n-FinFET
IMEC
H=65nm,W=25nm
G. Tettamanzi et. al, EDL, 2009.
Abhijeet Paul
Ultra-scale
geometry with
finite atoms
http://www.xray.cz/xray/csca/
kol2010/abst/cechal.htm
An increasing need
for atomic scale
modeling to simulate
ultra-scaled
devices!!!
10
Need for integrated device modeling …
Treatment of
multiple materials
SiO2
Treatment of
multiple valleys
SiGe
Si
Treatment of
multiple particles
An increasing need
for integrated
modeling to handle
complex issues in
device modeling !!!
Electron current
Abhijeet Paul
Phonons
11
ITRS on the future device modeling ...
General , accurate, computationally efficient and robust quantum
based simulators incl. fundamental parameters linked to electronic
bandstructure and phonon spectra.
Physical models for novel materials eg. High-k stacks, Ge and
compound III/V channels: … Morphology, Bandstructure,
defects/traps,etc.
Physical models for stress induced device performance.
Treatment of individual dopant atoms and traps…
Need for an integrated approach to model material, electronic
and lattice properties at the atomic scale.
Abhijeet PaulITRS
2010, chapter 9, http://www.itrs.net 12
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
13
How to study the nano-scale devices?
Atomistic
Tight-binding
(TB)
model
Bottom-up
Approach
To
nano-scale
devices
Carrier Transport
Abhijeet Paul
14
Atomistic Tight binding Approach
FEATURES/ADVANTAGES
Nearest neighbor
Assemble
TB Hamiltonian
atomic bond model with
spin orbit (SO) coupling.
 Based on localized
atomic orbital treatment.
 Appropriate for treating
Crystal structure
atomic level disorder.
 Strain treatment at
atomic level.
Orbital
 Structural and material
Y <100>
Interaction
variation treated easily.
<111>
 Potential variations can
Z
accounted
(easily).
Atomisticbe
Tight
Binding for
(TB)
(x)<110>
A reliable way to calculate electronic
Structure
structure in ultra-scaled structures.
15
Abhijeet Paul
15
Bulk Bandstructure using Tight-binding
Si
Rocksalt
Se
Pb
Lent et. al,
Superlat. and Microstruc.,
1986
Zincblende
sp3d5s*-SO model
X  CB  L
Γ  VB  L
sp3d5-SO model
L
Atomistic Tight-Binding method 
A robust and accurate electronic structure model
Abhijeet Paul
16
Application of TB to FETs:
Charge-potential self-consistent approach
Schrodinger-Poisson self-consistent solution 
Electron transport analysis in nano-scale FETs.
Abhijeet Paul
17
Experimental validation of 2D atomistic
Schrodinger-Poisson simulator
Collaboration between Purdue University & Institute of Microelectronics, Singapore (2007-08).
TEM image of
Experimental SiNW FET
Self-consistent Simulation
Schrodinger using TB
4505 atoms
potential
2D FEM Poisson solution
Device Dimensions:
Tox = 9nm
W = 25nm
H = 14 nm
Source/Drain doping : nSelf-consistent
simulation
type ,1e20cm-3
Intrinsic <100>
oriented Silicon
channel.
Abhijeet Paul
charge
of realistic devices using parallel
C/C++ code.
~20K FEM elements
18
Experimental validation of atomistic simulator
contd.
Self-consistent Simulation
Terminal CV benchmarking
Good matching
Electron charge distribution
Simulator benchmarked !!!
Quantum mechanical simulations for realistic FETs possible.
Impact: Work published in IEEE, EDL
VOL. 30, NO. 5,MAY 2009. p.526
Electrical Potential Distribution.
Abhijeet Paul
19
How to study the nano-scale devices?
Modified
Valence Force
Field (MVFF)
model
Atomistic
Tight-binding
(TB)
model
Bottom-up
Approach
To
nano-scale
devices
Carrier Transport
Abhijeet Paul
20
Phonon dispersion calculation:
Modified VFF (MVFF) model
[A]
Old Keating
Model [1]
[B]
Δr
Short
Range
Δθ
Bond-bending(β)
Bond-stretching(α)
[C]
[F]
Δr
Long
Range
Coulomb
interaction
Cross-bond
stretch bend (γ)
[2] Zunger et. al. 1999
Δθ
Imp. for
polar
materials [2]
Imp. For polar materials [2]
[E]
[D]
Δr1
Δr2
Cross bond
Stretching (δ)
Δθ2
Δθ1
New combination of Interactions:
Modified Valence Force Field
Calculate phonons in zinc-blende
materials.
Coplanar bond
bending(τ)
Imp. for non-polar materials
Abhijeet Paul ([3] Sui et. al, 1993)
[1] Keating. Phys. Rev. 145, 1966.
[2] PRB, 59,2881, 1999.
[3] PRB, 48, 17938,1993
21
What is the need for a new phonon model??
Over estimates
optical modes
Keating VFF Model
Bulk Si
Expt. (dots) [1]
Bulk Si
Expt. (dots) [1]
Over estimates
acoustic modes
at zone edges.
Expt. Data[1], inelastic
neutron scattering
(80K and 300K).
Abhijeet Paul
New MVFF model matchs the
dispersion very well in the entire
Brillouin zone !!!
Accurate phonon model crucial for correct calculation of
phonon dispersion in nanostructures.
[1] Nelsin et. al, PRB, 6, 3777, 1972.
22
Phonon dispersion in free-standing nanowires
2 branches
1 branch
1D periodic [100] Si
nanowire structure. [100] free
Surface atoms free to standing
SiNW
vibrate.
Bulk Si
6 branches
1 branch
2 branches
Lot of flat bands (zero velocity)
resulting in phonon confinement.
qx [norm.] X
Strong phonon confinement responsible for different lattice
properties in SiNWs compared to bulk.
Abhijeet Paul
23
Approaches to study the nano-scale devices
Modified
Valence Force
Field (MVFF)
model
Atomistic
Tight-binding
(TB)
model
Bottom-up
Approach
To
nano-scale
devices
Carrier Transport
Landauer’s model (LM)
Abhijeet Paul
24
How to analyze thermoelectric
properties of materials ?
Tc
V1
O
U
T
Ie
Th
Material A
IQ
IN
Material B
V2
Ie
Steady-state linear thermoelectric (Onsager’s) relations [1,2]
Electric current
I e  G.V  GS .T
Landauer’s Formula can be used to
evaluate the transport parameters
Heat current
 


I Q  GST .V    S 2GT .T
kB T
V 
q
T  T
V  V1 V2 , T  Th  Tc , T  Th  Th 2 ,   e  l
Abhijeet Paul
[1] L. Onsager, Phys. Rev. 37 405 (1931).
[2] G. D. Mahan, Many-body Physics. 25
Goodness of thermoelectric materials:
Figure of Merit (ZT)
Generation of potential difference due
to
applied
temperature
difference`Seebeck Coefficient’.
V
S
T
Measure of thermoelectric
power generation (High)
GS 2T
ZT 
l  e
Measure of charge flow
(High)
High ZT  large G
Abhijeet Paul
V
 T
T
Measure of thermoelectric
cooling (High)
ZT = ‘Thermoelectric Figure of
Merit’  by Ioffe in 1949.
S2G = Electronic Power Factor (PF)
Ability of material to conduct electricity
`Electrical Conductance’
I
G
V
Generation of temperature difference
due to applied potential difference 
`Peltier Coefficient’
Ability of material to conduct heat
energy `Thermal Conductance’
1 Q

T d
Measure of heat flow (Low)
Both electrons (ke)and
lattice(kl) carry heat.
large S and small κ desired !!!
26
Calculation of thermoelectric parameters
G,S
κe
κl
(Electronic)
(Lattice)
 Pre- factor f (L )
e /l
m
Landauer’s Integral
Under zero current condition
GL
e
0
l  L
S L /L
e
1
l
1
e
0
Landauer’s approach 
A suitable approach to calculate
thermoelectric transport parameters in nanostructures.
Abhijeet Paul
27
A closer look at electrons and phonons
L 
l
m
max

0
   ph ( )   FBE ( ) 
 
M ( )d

L

 T 
m
Both need
e/l
m
•No. of modes, M(E).
•Mean free path (λ).
L
Electrons need
 E  Ef
e
Lm   
k BT
 
Etop
Phonon Integral
Phonons need
•No Fermi Level
•Bose Einstein distribution (bosons!!)
• M(ω)  Phonon dispersion.
Accurate electronic &
phonon dispersions must !!!.
•Moment calculation near Fermi Level
•Fermi Dirac distribution (fermions!!)
•M(E)  Electronic bandstructure.
m
   el ( E )   FFD ( E ) 
 

 M ( E )dE

L
E 

 
Abhijeet Paul
Electron Integral
28
The complete approach set
Modified
Valence Force
Field (MVFF)
model
Atomistic
Tight-binding
(TB)
model
Electronic
Properties
Bottom-up
Approach
To
nano-scale
devices
Thermal
Properties
Carrier Transport
Landauer’s model (LM)
An ‘integrated approach’ to study electronic, physical
and thermal properties of nanostructures !!!
Abhijeet Paul
Thermoelectricity
29
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future direction
Abhijeet Paul
30
Silicon nanowires (SiNW): The vast potential
Batteries [A]
Explosive -sensor [E]
Solar cells [B]
Cathode
Li2S
SiNW
Anode
SiNW
SiNWs have versatile applicationsThermoelectricity [D]
and
Silicon
are highly compatible
to CMOS.
nanowire
Interesting system to study!!!
Transistors [C]
Abhijeet Paul
[A] Yang et. al, 2010, Nanoletters.
[B] Kalzenberg et. al, 2008, Nanoletters.
[C] Chin et. al, 2009, IEEE, TED.
[D] Hochbaum et. al, 2008, Nature.
[E] Patlosky et. al, 2010, Verlag, Germany.
31
Nanoscale solutions in SiNWs
Physical metrology
How to determine
size, shape and
orientation ?
?
Electrical metrology
How to determine
interface traps in SiNW
FETs?
Silicon
nanowire
Thermoelectricity
How to enhance PF
and ZT of SiNW ?
Abhijeet Paul
Thermal properties
How to engineer
thermal properties of
SiNW ?
32
Peeking into the channel of Si trigated n-FinFETs
Collaboration between Purdue University ,TU Delft, Netherlands and IMEC, Belgium (2009-2011).
TEM image of tri-gated n-FinFETs
Active
Area(SAA)
Experiment
Temperature
Based
G-V
Sub-threshold
measurement
about
From
intercept
Where do the
charges flow ?
How easily
charges go from
thermionic current provides information
source to channel?
Channel
undoped channel Si FinFETs !!!
From slope
Barrier
source Height (Eb)
Abhijeet Paul
33
Trends of Eb and SAA in Si n-FinFET:
Experiment vs. Simulation
Eb and SAA
decrease with Vgs
 volume to surface
inversion
Experimental Results
Good
match !!
Simulation
Approach
Schrodinger Eq.:
20 band sp3d5s*
model with spin orbit
coupling for Si.
Simulated
Tri-gated
Si n-FinFET
ρ(r)
V(r)
2D-Poisson Solution
Simulations give good qualitative match !!
What Performed
is the reason
using for mismatch in SAA ?
OMEN-3Dpar
Channel with ~44K atoms
(support from Sunhee Lee)
Abhijeet Paul
34
???
Mismatch in SAA :
Interface trap density (Dit) extraction
3D FinFETs
bad sidewall etch [1]
interface traps
gate screened
from channel
mismatch in SAA
A
B
No H2 anneal
More mismatch!!
~2X
Difference in expt. and simulated SAA  Dit extraction
From
 Method
1
A. Paul et. al, JAP,
2011
Charge
Neutrality
H2 anneal reduce traps by ~2X.
Abhijeet Paul
[1] Kapila et. al, IEEE, EDL, 2008
35
Mismatch in Eb :
Interface trap density (Dit) extraction
Eb (meV)
3D FinFETs
Eb


bad sidewall etch [1]
Vg
interface traps
gate screened
Gate to Channel coupling.
from channel
Suppressed by interface
mismatch in Eb
traps
H2 anneal
A.Paul et. al, JAP, 2011
H2 anneal
Dit ~18.1x1011#/cm2
[100]
Difference in expt. and simulated α  Dit extraction

Dit
Method 2 11
~10.3x1011#/cm2
2
Dit ~15.3x10 #/cm
[110] sidewall Dit > [100] sidewall Dit.
[110]
Gate
Voltage
Abhijeet
Paul(V)
36
Physical metrology
How to determine
size, shape and
orientation ?
?
Conductance Electrical metrology
Measurement
How to determine
and
interface traps in SiNW
simulations.
FETs?
Silicon
nanowire
Thermoelectricity
How to enhance PF
and ZT of SiNW ?
Abhijeet Paul
Thermal properties
How to engineer
thermal properties of
SiNW ?
37
2 types of
shifts
Bulk Material
Nanostructure
(NS)
Intensity (a.u)
Info on
size, dimensionality,
crystallanity
Phonon shifts
of nanostructures
Frequency(ω) 
Phonon Shift
 Raman
Spectrometer
Frequency(ω) 
Frequency (cm-1)
Physical Metrology  Raman Spectroscopy:
A primer
Acoustic
Phonon
shift
q
Optical
Phonon
shift
q
opt / ac  
NS
opt / ac
∆ω > 0  Blue-shift
information
∆ωabout
< 0  Red-shift
provide vital
Physical properties of nanostructures!!!
Abhijeet Paul

Bulk
opt / ac
38
Phonon shifts: Experimental benchmarking.
Acoustic hardening or blue-shift
in SiNWs
Acoustic
d <1
for 1D. A >0
Optical softening or red-shift
in SiNWs
MVFF
compares
with expts.
very well
Optical
MVFF provides correct trend for
d >1
phonon shifts  ‘A’ and ‘d’ correlation can connect tofor 1D.
d
SiNW shape
A<0
 a0 
Connects to the
shape of the
nanowire in 1D
Abhijeet Paul
  A   
W
Connects to
dimensionality
of NS
39
Physical metrology of SiNWs
 a0 
  A   
W
d
SiNW
‘A’shapes
and ‘d’ under
from study
acoustic and optical phonon shifts correlate to
SiNW shape nanoscale metrology
Abhijeet Paul
40
Physical metrology
How to determine
size, shape and
orientation ?
Raman
spectroscopy
Phonon shift
in SiNWs
Conductance Electrical metrology
Measurement
How to determine
and
interface traps in SiNW
simulations.
FETs?
Silicon
nanowire
?
Thermoelectricity
How to enhance PF
and ZT of SiNW ?
Abhijeet Paul
Thermal properties
How to engineer
thermal properties of
SiNW ?
41
Need for tuning material thermal properties
Heat Source
A
B
Equivalent
thermal circuit
Heat Flow
Thermoelectric device
Thermal Capacitance
Cth  V    CV
Thermal Resistance
Heat Sink
Better Laser Cooling
A
Rth 
 th  L
Better Heat evacuation
in FETs.
Improved ZT in
thermoelectric devices
Engineering material thermal properties can improve
system performance!!!
Abhijeet Paul
42
Strain: Tuning thermal conductivity
of SiNWs
Simulation
MVFF
Set-up
Expt.
Result
A. Paul et. al, APL, 2011.
Gan et.al
Purdue University
Abhijeet Paul
MVFF simulations show similar
tuning for thermal conductivity
with strain.
43
Engineering κl using strain in SiNW
κl increases
under
compressive
uniaxial strain
Low and mid
range bands
responsible.
Uniaxial strain
tunes κl more than
hydrostatic strain
in SiNWs!!
Energy Spectral Contribution κl
κl is weakly
sensitive to
hydrostatic
strain
Low and high bands
oppose mid bands 
overall negligible
change
Abhijeet Paul
Phonon
energy
range
0 -22 meV
Low
22-44 meV
Mid
44-65 meV
High
Strain type
Compressive  Tensile (-2%+2%)
Uniaxial
36%34%
52%50%
12%13%
Hydrostatic
32%37%
56%45%
11%16%
44
Tuning Specific heat (Cv) of SiNWs using strain
Uniaxial strain brings
neglible change to Cv
Hydrostatic strain
brings large change
to Cv
Very less change
Hydrostatic
strain tunes Cv more
In energy
contribution under
strain in SiNWs !!!
strain
Abhijeet Paul
Higher energy
bands contribute to
the change in Cv.
than uniaxial
45
Conductance Electrical metrology
Measurement
How to determine
and
interface traps in SiNW
simulations.
FETs?
Physical metrology
How to determine
size, shape and
orientation ?
Raman
spectroscopy
Phonon shift
in SiNWs
Thermoelectricity
How to enhance PF
and ZT of SiNW ?
Abhijeet Paul
Silicon
nanowire
?
Strain tunes
Phonon
thermal
properties
Thermal properties
How to engineer
thermal properties of
SiNW ?
46
Porous crystalline Si for thermoelectricity
Electrical
Conductivity[1]
Hopkins et.al
Nano. Lett.,
2011.
~1.5X Drop
Tang et.al
Nano Lett., 2010.
Yu et. al
Nature Porous
Nanotech.
2010
~8X
Reduction 
Experimental
results
Silicon  an attractive alternative for
RT thermoelectric material.
Thermal SiNWs ?
How about porous
Experimental
structures
Abhijeet Paul
Conductivity[1]
[1] Yu et. al Nature Nanotech., 2010.
47
Electronic and Phonon dispersion: Porous SiNW
Hollow SiNW:
[100], W=4nm
Tight
Binding
Increase in Ec 
more confinement
Rh=0.4 nm
Dsep=0.2 to 1 nm
flat bands

Increased electron andMore
phonon
confinement
in
Suppression of
porous SiNWs
compared
to filled nanowire.
heat flow.
MVFF
Abhijeet Paul
48
Porous SiNWs:
Electronic and lattice contribution to ZT
Solid nanowire
Electron and Phonon dispersion
PF (S2G)
reduction ~49% 
~7% drop

~35% drop

Electrical and thermal transport parameters
 Landauer’s method with scattering
kl reduction ~55%

2
GS
ZT 
T
( e   l )
Thermoelectric
Interplay ofEfficiency
PF and κl determine the final ZT !!!
Abhijeet Paul
49
~55% drop

Porous SiNW: Power-factor and ZT
~7% rise

~49%
drop 
Large reduction in
Electrical power-factor
due to pores.
ZT improves due to large
suppression on lattice
thermal conductivity.
ZT in porous SiNW improves but at the
expense of electrical performance !!!
Abhijeet Paul
50
Physical metrology
How to determine size,
shape and orientation ?
Conductance
Measurement
and simulations.
Electrical metrology
How to determine
interface traps in SiNW
FETs?
Raman
spectroscopy
Phonon shift
in SiNWs
Integrated modelingSilicon
approach sheds light on
nanowire
many nano-scale
aspects of SiNWs.
Phonons 
Lattice thermal
properties
Thermoelectricity
Porous SiNW
How to enhance PF
Enhance ZT
and ZT of SiNW ?
Abhijeet Paul
Thermal properties
How to determine
thermal properties of
SiNW ?
51
Key new findings and accomplishments
• Developed two new interface trap metrology methods in Si
trigated FinFETs.
»Methods are complimentary and repeatable.
(Published in JAP, 2011, IEEE EDL 2010, IEEE EDL 2009)
• Correlated the shape and size of SiNWs to phonon shifts 
guides Raman Spectroscopy.
(Accepted in JAP 2011)
• Strain engineering of lattice thermal conductivity and specific heat
of SiNWs possible. (Published in APL, 2011)
• Possibility of using porous SiNWs for enhanced ZT (~6% rise) at
room temperature shown.
Abhijeet Paul
52
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
53
GaAs nanostructures:
Electronic and thermoelectric enhancement
[100]/(100)
A. Paul et. al,
IEEE DRC,
2011
~38% inc. in
ION for 4%
strain
p-type.
SiNW
~10% inc.
in ZT for
Integrated
tensile strain
n-type
modeling performance enhancement of
GaAs nanostructures.
0%
2%
5%
A. Paul et. al,
IEEE Nano,
2011
Ga
GaAs
kl = 1W/m-K [1]
GaAs NW
Abhijeet Paul
[1] Martin et al,
Nanoletters, 10, 2010
54
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
55
Global scientific outreach using nanoHUB.org
Research Tools
BandStructure Lab
Most popular tool on nanoHUB.
Over 3K users.
Till now ran 34503 simulations.
Has been cited 28 times in research.
Abhijeet Paul
LANTEST Tool
•C/C++ and Matlab based tools.
•Enables research in electronic
structure and thermoelectricity
Open research tool for fellow
researchers !!!
56
Global semiconductor education
using nanoHUB.org
Semiconductor Educational Tools
Crystal Viewer Tool
Periodic Potential lab
• 6 C/C++ and MATLAB based
semiconductor physics tools
developed.
•Used in EE305
(Semiconductor Introduction)
at Purdue University
 Users (last 12 months) = 887
 Simulations (last 12 months) ~3K
Enabled dissemination of
device physics knowledge
globally.
Abhijeet Paul
57
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
58
Summary
• An integrated modeling approach
developed to study nanoscale
devices.
• SiNWs :
»Electrical metrology  trap extraction
method.
»Structural metrology  Raman
spectroscopy  phonon shift
»Thermal property tuning  Phonon
confinement.
»Thermoelectricity  Porosity control.
Abhijeet Paul
59
Summary
• GaAs:
»Compressive strain and body
scaling enhances ION of UTB pFETs.
»Tensile strain and orientation
enhances ZT of GaAs
nanowires.
• Global outreach for research
using nanoHUB.org.
Abhijeet Paul
60
Outline of the talk
• Motivation
» Why the present work is important ?
» Need for integrated atomistic simulation framework
• Computational modeling and simulation approaches.
• Application of the methods to Si nanowires (SiNWs).
• Application to non-Si system  GaAs a quick look !!
• Global dissemination of findings  nanoHUB.org
• Summary
• Future directions
Abhijeet Paul
61
Future directions
• Combining electrons and phonons for
better eletro-thermal understanding in
nano-scale devices.
http://www.comsol.com/papers/6801/
• Increased device to system level
interaction for better design
optimizations.
Abhijeet Paul
62
Future directions
• Inclusion of thermodynamics into
phonon calculations.
Lattice thermal expansion
Si bulk
http://www.ioffe.ru/SVA/NSM/Semicond/Si
• Investigation of source to drain tunneling
for performance evaluation of ultra-short
MOSFETs.
Abhijeet Paul
63
Thank you!!!
Abhijeet Paul
64
Appendix A
• References for Acoustic phonon shift
»Si-1/Si-2: T. Thonhauser et. al, PRB, 69, 2004. (T)
»Si-3: Hepplestone et. al., APL, 87, 2005. (T)
• References for Optical phonon shift:
»Si-1: Hepplestone et. al., APL, 87, 2005. (T)
»Si-2: K. Adu et. al, App. Phys. A, 85, 2006. (E)
»Si-3: Sun et. al, PRB, 72, 2005. (T)
»Si-4: Campbell et. Al, Solid State Comm., 58, 1986. (T)
»Si-5: Zi et. Al, APL, 69, 1996. (T)
»Si-6: Yang et. Al, Jour. Phys. Chem., 112, 2008. (E)
»Si-7: Faraci et. Al, Journ. App. Phys., 109, 2011. (T)
T = Theory , E = Expt.
Abhijeet Paul
65