indiana university department of chemistry electronic structure studies of semiconductor surface...
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INDIANAUNIVERSITY
DEPARTMENT OF CHEMISTRY
Electronic Structure Studies of Semiconductor Surface Chemistry using Cluster Models
Krishnan Raghavachari
Indiana UniversityBloomington, IN 47405
Computational Chemistry Conference – Kentucky – 2003
Outline
• Quantum Chemistry of Materials – Cluster Approach • Wet oxidation of silicon (100)
• ALD growth of Al2O3 on H/Si Initial reaction mechanism
• Indium Phosphide Surface Chemistry H on P-rich InP(100)
H on In-rich InP(100)
• Semiconductor – molecule – metal systemGaAs – alkanedithiol – Gold
Computational Chemistry Conference – Kentucky – 2003
Collaborators
Mat Halls Theory
Boris Stefanov Post-Docs
Yves Chabal Experiment
Marcus Weldon AFM, IR on silica
Kate Queeney Infrared on Si
Olivier Pluchery Infrared on InP
Martin Frank ALD of Al2O3 on H/Si
Bob Hicks (UCLA) IR, STM
Gangyi Chen InP surface chemistry
Julia Hsu, Loo, Lang, Rogers molecular electronics
Computational Chemistry Conference – Kentucky – 2003
Quantum Chemistry of MaterialsCluster Approach
• Truncate back-bonds with H
• Describe the local region of interaction
• Appropriate for localized bonding (e.g., Si, SiO2)
Computational Chemistry Conference – Kentucky – 2003
Cluster approach - Questions
• Cluster size dependence
• Embedded cluster approaches
• Cluster termination
• Cluster constraints
Cluster approach vs. Slab approach
Computational Chemistry Conference – Kentucky – 2003
Cluster models for Si, InP
Vibrational problems
Accurately describe vibrations above the phonons ( 500 cm-1) Hydrogen vibrations on Si, InP
Oxidation of Si(100)
InP oxides
Photoemission
Si/ SiO2 Interface Structure
Mechanistic problems
HF etching of silicon surfaces
Oxidation of Si(100)
ALD growth of Al2O3 on Si
CVD growth of InP
Computational Chemistry Conference – Kentucky – 2003
Dimerized Si(100) Surface
Computational Chemistry Conference – Kentucky – 2003
Si9H14Si15H20
Si21H28
H/Si(100) Surface Models
Computational Chemistry Conference – Kentucky – 2003
Embedded H/Si(111) Surface Models
Si10H16 Si43H46
a b
Computational Chemistry Conference – Kentucky – 2003
Outline
• Quantum Chemistry of Materials – Cluster Approach • Wet oxidation of silicon (100)
• ALD growth of Al2O3 on H/Si Initial reaction mechanism
• Indium Phosphide Surface Chemistry H on P-rich InP(100)
H on In-rich InP(100)
• Semiconductor – molecule – metal systemGaAs – alkanedithiol – Gold
Computational Chemistry Conference – Kentucky – 2003
500 3500250015001000 2000 3000 4000Frequency (cm-1)
Abs
orba
nce 2 × 10-4(HOH)
(HOH)
(SiH)
(SiH)
(OH)
(Si-OH)
Water dissociation on Si(100)-2x1
Room temperature
Computational Chemistry Conference – Kentucky – 2003
Infrared spectra at 400 °C
3 6 7 53 6 5 7
3 6 3 8
2 0 8 5
6 7 06 3 2
6 2 2
7 9 97 7 9
7 5 77 4 3
9 9 01 0 1 1
1 0 3 8
6 0 0 7 0 0 8 0 0 9 0 0 1 0 0 0 1 1 0 0 2 0 5 0 2 2 5 02 1 5 0 3 5 0 0 3 6 0 0 3 7 0 0 3 8 0 0
F re q u e n c y (c m - 1 )
Abs
orba
nce
3 7 3 83 6 8 63 6 7 5
2 1 1 8
2 1 6 5
2 2 6 1
2 1 0 92 0 9 9
2 0 8 8
6 0 5
6 3 0
6 1 9
7 9 0
8 2 5
8 1 2
4 × 1 0 -4
( a )
2 × 1 0 -4 2 × 1 0 -4
2 × 1 0 -4
2 × 1 0 -4
2 × 1 0 -4
( c )( b )
( f )( e )( d )
SiO SiH OH
400 °C
25 °C
Computational Chemistry Conference – Kentucky – 2003
Theoretical Strategy
• Errors are similar in related systems, Use exactly similar models• Tight convergence, precise calculations (104 Å, 1 cm1)• Determine trends in frequencies
(e.g.) SiH 2085 cm1
OSiH 2110 cm1
O2SiH 2165 cm1
O3SiH 2250 cm1
• Trends in intensities, Isotope effects, H vs. D, 16O vs. 18O• Determine small number of correction factors
~ 100 cm1 for SiH stretch
~ 20 cm1 for SiOSi
Computational Chemistry Conference – Kentucky – 2003
Structures assigned at 400 °C
6 0 0 8 0 0 1 0 0 0 2 0 0 0 2 2 0 0 3 6 0 0 3 8 0 0
4 x 1 0 - 4
Abs
orba
nce 2 x 1 0 - 4 2 x 1 0 - 4
( S i - O H )
( S i - H )
( O - H )
( S i - H )
( O - H )
F r e q u e n c y ( c m - 1 )
2 2 6 02 1 6 5
2 1 1 6
2 1 0 82 0 9 9
2 0 8 8
6 7 0
7 9 9 9 9 01 0 1 1
1 0 4 07 4 5
7 5 7
6 3 4
9 4 29 2 0
8 4 0
6 0 0 8 0 0 1 0 0 0 2 0 0 0 2 2 0 0
F r e q u e n c y ( c m - 1 )
Computational Chemistry Conference – Kentucky – 2003
Outline
• Quantum Chemistry of Materials – Cluster Approach • Wet oxidation of silicon (100)
• ALD growth of Al2O3 on H/Si Initial reaction mechanism
• Indium Phosphide Surface Chemistry H on P-rich InP(100)
H on In-rich InP(100)
• Semiconductor – molecule – metal systemGaAs – alkanedithiol – Gold
Computational Chemistry Conference – Kentucky – 2003
• As device dimensions shrink, there is a need to replace SiO2 with
alternative dielectric materials
• Al2O3 growth on Si is an active topic: Al2O3 vs. SiO2
(ε = 9.8 vs. 3.9 ); thermodynamically stable interface in contact with
Si
• Atomic layer deposition provides a mechanism to have controlled
growth
• Involves two self-terminating half-steps, one involving the metal and
the other involving the oxide
• Al(CH3)3 (TMA) and H2O are commonly used
ALD of Al2O3 on H-passivated Silicon
Computational Chemistry Conference – Kentucky – 2003
Experimental Motivation
• Frank, Chabal and Wilk (APL, 2003)
– 300° C exposure of H/Si substrates to TMA or H2O
• deposition of Al species with TMA
• no reactivity observed for H2O
– Surprising observation: Metal precursor (TMA) controls
nucleation on H-passivated silicon
Theoretical focus
The initial surface reactions between ALD precursors
and H-passivated silicon surfaces
Computational Chemistry Conference – Kentucky – 2003
H/Si(100) Surface Models
Si9H14Si15H20
Computational Chemistry Conference – Kentucky – 2003
H/Si + H2O → SiOH + H2
0.00.15
eV
1.58
0.75
+
H2O + H/Si(100) Rxns
Computational Chemistry Conference – Kentucky – 2003
H/Si + Al(CH3)3 → SiAl(CH3)2 + CH4
TMA + H/Si(100) Rxns
0.00.02
eV
1.22
0.31
+
Computational Chemistry Conference – Kentucky – 2003
a b
1.5 8 e V 1 .5 7 e V
c d
1.2 2 e V 1 .2 5 e V
H2O and TMA + H/Si(100)-2×1 Rxns
• H2O and TMA activation
energies and overall enthalpy
are similar with single-dimer
and double-dimer
H/Si(100) models
• Barrier for TMA lower than
the barrier for H2O
Computational Chemistry Conference – Kentucky – 2003
TMA vs. H2O
Computational Chemistry Conference – Kentucky – 2003
TMA vs. H2O
• TMA barrier is 0.3 eV lower than H2O barrier
• TMA reaction ~ 103 faster than H2O reaction
• Consistent with the experimental observations
no reaction with H2O at 300°C
reactive products seen with TMA
Computational Chemistry Conference – Kentucky – 2003
H/Si(111) Surface Models
Si10H16 Si43H46
Computational Chemistry Conference – Kentucky – 2003
H2O and TMA + H/Si(111) Rxns
1.6 4 e V 1 .6 4 e V
1 .2 3 e V 1 .4 5 eV
• H2O activation energies and
overall enthalpy are conserved
with Si10 and Si43
• TMA energetics are dramatically
different – indicating significant
steric interactions
Computational Chemistry Conference – Kentucky – 2003
Outline
• Quantum Chemistry of Materials – Cluster Approach • Wet oxidation of silicon (100)
• ALD growth of Al2O3 on H/Si Initial reaction mechanism
• Indium Phosphide Surface Chemistry H on P-rich InP(100)
H on In-rich InP(100)
• Semiconductor – molecule – metal systemGaAs – alkanedithiol – Gold
Computational Chemistry Conference – Kentucky – 2003
III-V Materials - InP• important for lasers and high-speed electronics• Surface structure and chemistry poorly understood
• Difficult to prepare surfaces (requires MOVPE)• High quality experimental data (Hicks)• Vibrational spectra (complicated)
• Band structure methods – difficult for vibrations• Cluster models - difficult to formulate
• Can models similar to that used for silicon be
successfully used for InP, GaAs, ...?• How accurate are theoretical calculations for InP?
Computational Chemistry Conference – Kentucky – 2003
Polarized Spectra (PH region)
Hydrogen Adsorption onP-rich InP(100)-(21)
Computational Chemistry Conference – Kentucky – 2003
Vibrational spectrum (PH region)
Computational Chemistry Conference – Kentucky – 2003
Complications for InP
• Bonding has covalent and dative contributions
• On average, there are three covalent and one
dative bond around each element
• Terminating all back bonds with hydrogens
leads to unphysical structures
• Hydrogen atoms can be used to terminate
truncated covalent bonds but cannot form
dative bonds
Computational Chemistry Conference – Kentucky – 2003
• Neglecting the truncated dative bonds leads to
unphysical structures - with bridging hydrogens
Complications for InP
Computational Chemistry Conference – Kentucky – 2003
Cluster model for InP(001)-21
• Terminate truncated covalent bonds with H
• Terminate truncated dative bonds with PH3
• Two such dative groups are sufficient to define
a physically reasonable charge-neutral cluster
with all atoms being tetracoordinated
Computational Chemistry Conference – Kentucky – 2003
Single dimer model for InP(001)-21
Computational Chemistry Conference – Kentucky – 2003
• Unit cell has two surface P and two second-layer In• Two surface P atoms contribute 10 e- (2x5)• Second layer In atoms contribute half their
valence electrons - 3e-• Total electrons - 13• Bonds formed 5 (1 dimer + 4 back bonds) - uses 10 e-• The remaining 3 electrons are distributed
between the two lone-pair dangling bonds per dimer
Electron count forP-rich InP(001) dimer
Computational Chemistry Conference – Kentucky – 2003
Hydrogenated structures –InP(001)-21
1 2 3
Computational Chemistry Conference – Kentucky – 2003
Vibrational Frequencies
Cluster Assignment Theory Experiment
1 PH 2302 2301
2 HPPH (as) 2256 2265
2 HPPH (s) 2260 2265
3 PH 2238 2225
3 HPH (s) 2319 2317
3 HPH (as) 2339 2338
Computational Chemistry Conference – Kentucky – 2003
Polarized Spectra (InH, PH region)
Hydrogen Adsorption onIn-rich InP (24)
Computational Chemistry Conference – Kentucky – 2003
Electron count forIn-rich InP(001) dimer
• Unit cell has two surface In and two second-layer P• Two surface In atoms contribute 6 e- (2x3)• Second layer In atoms contribute half their
valence electrons - 5e-• Total electrons - 11• Bonds formed 5 (1 dimer + 4 back bonds) - uses 10 e-• The remaining 1 electron is distributed
between the two In atoms of the dimer
Computational Chemistry Conference – Kentucky – 2003
H-adsorption onIn-rich InP (2x4) surface
• Surface has 4 In dimers in the unit cell• There is 1 In-P mixed dimer as well
Computational Chemistry Conference – Kentucky – 2003
Two dimer model with terminaland bridging H
Theory:Terminal H - 1659, 1675 cm1
Bridged H - 1348, 1384
Expt: 1660, 1682 cm1
1350 (broad) 1150 (broad)
Terminal and bridged In hydrides can be clearly assignedWhat is the band at 1150 cm1?
Computational Chemistry Conference – Kentucky – 2003
Coupled bridging hydrogens –“Butterfly” Isomer
Terminal H - 1659, 1660 cm1
Bridged H - 1117(w), 1142(s)
Consistent with the broad band observed at 1150 cm1
Computational Chemistry Conference – Kentucky – 2003
Plasma Grown Oxide: FTIR Analysis
Referenced to HCl etched surface
IR Transmission spectra
5x10-3
4
3
2
1
0
Ab
sorb
ance
1600140012001000800
Wavenumber /cm-1
p-pol
s-pol
1010
932
1076
•3 vibrational modes at:1076 cm-1 (s)1010 (vw) 932 (w)
•assigned to phosphate compounds (In2O3 has no mode in the 650-4000cm-1 region)
•s-pol p-pol oxide is dense (LO-TO splitting 100 cm-1)
Computational Chemistry Conference – Kentucky – 2003
Cluster model for InPO4
970 - 980 cm1 (w)
1015-1020 cm1 (vw)
1090-1110 cm1 (s)
Computational Chemistry Conference – Kentucky – 2003
Larger Cluster model for InPO4
995 - 1000 cm1 (w)
1045 cm1 (vw)
1095-1135 cm1 (s)
Computational Chemistry Conference – Kentucky – 2003
Outline
• Quantum Chemistry of Materials – Cluster Approach • Wet oxidation of silicon (100)
• ALD growth of Al2O3 on H/Si Initial reaction mechanism
• Indium Phosphide Surface Chemistry H on P-rich InP(100)
H on In-rich InP(100)
• Semiconductor – molecule – metal systemGaAs – alkanedithiol – Gold
Computational Chemistry Conference – Kentucky – 2003
Nanotransfer Printing (nTP)
(a) Etch oxide; deposit dithiol monolayer
(b) Bring stamp into contact with substrate
(c) Remove stamp; complete nTP
GaAs
SH
(CH2)x
S
SH
(CH2)x
S
SH
(CH2)x
S
SH
(CH2)x
S
PDMS stamp 20 nm Au
GaAs
SH
(CH2)x
S
SH
(CH2)x
S
S
(CH2)x
S
Au
S
(CH2)x
S
Au
JVST B20, 2853 (2002)
Hsu, LooLang, Rogers
Computational Chemistry Conference – Kentucky – 2003
10-6
10-5
10-4
10-3
10-2
10-1
100
101
0.6 0.8 1.0 1.2 1.4 1.6
controlevaporatednTP
A(E-)2
C*exp(E/E0)
Ephoton (eV)
Pho
tore
spon
se y
ield
Photoresponse
• nTP diodes do not show Au/GaAs Schottky characteristics• Exp E reflects the exponential distribution of electronic states in the emitter Longer
molecules: better ordered monolayer, lower fields• Origin: molecular occupied levels, interfacial GaAs-S states
E0 (meV)
C8 50
C9 43.5
C10 37Au n+ GaAs
E
Ev
EcEF
EgGaAs
Au n+ GaAs
E
Ev
EcEF
GaAs Eg
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
Ga4As5H10-SC8H16S-Au5 (B3-LYP/6-31+G*)
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
HOMO -6.1 eV
O-245
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
LUMO -3.2 eV
V-246
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
Au-S-Alkyl -8.0 eV
O-226
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
Au-S-Alkyl -6.5 eV
O-242
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
GaAs-S-Alkyl -7.4 eV
O-237
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
GaAs-S-Alkyl -6.4 eV
O-243
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
GaAs-S-Alkyl -6.3 eV
O-244
Computational Chemistry Conference – Kentucky – 2003
-10 -8 -6 -4 -2 0 2 4Energy (eV)
DO
S
S-Alkyl-S 0.07 eV
V-269
Computational Chemistry Conference – Kentucky – 2003
GaAsAu dithiol
Ev
Ec
EF
HOMO
Band Alignment & Transport Mechanism
Au-S
GaAs-S E<Eg
E>Eg