charge-trap memories with high-k control...
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G. Molas 1Workshop on Innovative Memory Technologies – June 24 th 2009
Charge-trap memories with high-k control dielectrics
Gabriel Molas
CEA-LETI MINATECAdvanced Memory Technology
G. Molas 2Workshop on Innovative Memory Technologies – June 24 th 2009
Outline
• Context • Charge trap memories with high-k
control dielectrics• Modelling and simulation• Conclusions
G. Molas 3Workshop on Innovative Memory Technologies – June 24 th 2009
9-109-109-109-1010-1310-1310-1310-1310-13Interpolythickness [nm]
High-kHigh-kHigh-kHigh-kONOONOONOONOONOFloating gateNAND Interpoly
CT-3DCT-3DCT-3DCTCTFG/CTFGFGFGCell type
202225283236404551NAND Flash Technology [nm]
201520142013201220112010200920082007Year of production
ITRS 2007 envisages High-k interpoly combined with cha rge trapping (CT) layers for sub-30nm nodes to maintain hig hcoupling ratio and good reliability
Context – TANOS NAND
TANOS 40nm SAMSUNG IEDM’06, VLSI’06TANOS 63nm SAMSUNG IEDM’05
���� Samsung TANOS (TaN / Al 2O3 / Si3N4 / SiO2 / Si) memory envisagedfor sub-30 nm (resistance to SILC, low cell to cell X c oupling…)
G. Molas 4Workshop on Innovative Memory Technologies – June 24 th 2009
Context - Embedded charge traps1T SONOS + high-k dielectrics Split gate SONOS
Reduction of the programming consumption
(SSI instead of CHE)Reduction of the programming
voltages (high-k tunox and topox)
LETI program in progress
R. v. Schaijk, NVSMW 2006, NXP
Nitride charge trap memory
Patent US 2008/0290401, K. YASUI et al., Nov. 2008, RENESAS
AG
MG
AG
MG
LETI program in progress
G. Molas 5Workshop on Innovative Memory Technologies – June 24 th 2009
Outline• Context • Charge trap memories with high-k
control dielectrics– High-k Control dielectric optimization– Nitride thickness– Metal gate
• Modelling and simulation• Conclusions
G. Molas 6Workshop on Innovative Memory Technologies – June 24 th 2009
High-k Control dielectric
Comparison of various gate types on the erasing characteristics
Optimization of charge trap memories
- Study of various high-k materials- Introduction of a SiO 2interlayer
Impact of the nitride thickness on the memory retention
50nm
16nm
5.5nm
3.5nm
SANOS-like memories
Al2O3
Si3N4
SiO2
Nitride thickness
Control gate
G. Molas 7Workshop on Innovative Memory Technologies – June 24 th 2009
Eg = -0.8276 [Hf] + 6.4461
4.5
5
5.5
6
6.5
7
0 0.2 0.4 0.6 0.8 1
Hf fraction
Opt
ical
Ban
dgap
[eV
]
Al2O3 HfO2
Bandgap:HfO2 < HfAlO < Al 2O3
High-k control dielectrics - HfAlOHfO2, Al2O3, and HfAlO deposited by ALCVD (H2O, TMA and HfCl 4 precursors) in ASM PULSAR 2000 tool ����used as control dielectrics
10-7 10-6 10-5 10-4 10-3 10-2 10-1 1000
1
2
3
4
5
6
∆∆ ∆∆VT [V
]
Stress Time [s]
VG: 10V����14V
HfO2
HfAlOAl 2O3
Programming speed:HfO2 > HfAlO > Al 2O3
Tuning the memory characteristics with the Hf:Al ratio
G. Molas 8Workshop on Innovative Memory Technologies – June 24 th 2009
High-k control dielectrics - HTO / Al 2O3 bilayer
102 104 106 10880%
90%
100%
Al2O3 EOT 16nm => 6.6nm 20nm => 8.2nm
HTO/Al2O3 EOT 4/8 nm => 7.3nm
∆∆ ∆∆VT/ ∆∆ ∆∆
VT
,t=0s
[-]
Retention time [s]
SiO2
Poly-Si
Al 2O3
Si3N4
HTO
Al 2O3
Al 2O3
HTO
SANOS
SAONOS
Same EOT
• HTO/Al2O3 bilayers enable improved retention for the same EOT (so with no degradation of the programming voltages) M. Bocquet et al., SSE 2009
G. Molas 9Workshop on Innovative Memory Technologies – June 24 th 2009
20 24 28 32 36 40100
101
102
103
104
105 Si3N
4
3nm 6nm 10nm
Life
Tim
e (@
∆∆ ∆∆VT / ∆∆ ∆∆
VT
prog
=95
%)
1/kT [1/eV]
Nitride layer
Thick Si 3N4 ���� Better retention
Impact of the nitride thickness
Nitride thickness mostly impacts the retention at R T:
101 102 103 104 105 106 107 10870
80
90
100
∆∆ ∆∆VT / ∆∆ ∆∆
VT
init [%
]
Retention Time [s]
Si3N
4:
3nm 6nm 10nm
T=25°C
Same retention behavior at high temperature
RT°: difference
data retention
Si3N
4
3nm 6nm 10nm
HT°: no difference
M. Bocquet et al., IMW 2009
G. Molas 10Workshop on Innovative Memory Technologies – June 24 th 2009
Impact of the control gate on erasing
10-6 10-5 10-4 10-3 10-2 10-1 1000
1
2
3
4
VG=-18V
VG=-12V
Blocking Oxide:HTO / Al2O3
VT -
VTo
[V]
Stress time [s]
Poly N+
Poly P+
Same speed between P+/N+ poly-Si gate
Poly - SiN+ / P+
Si3N4
SiO2
6nm
2.5nm
HTO
Al2O3 8nm
5nm
VT saturation appears for N+ type gate at high voltage s
P+ poly-Si gate: limited erase saturation
e-
h+
ControlGate
M. Bocquet et al., ESSDERC 2008
G. Molas 11Workshop on Innovative Memory Technologies – June 24 th 2009
Metal gateCollaboration with Aixtron
Deposition of TaN and TaAlN gates (AVD ®) on “ANOS” stacks
Midgap metal gates reduce erase saturation with respect to N+ gates
G. Molas 12Workshop on Innovative Memory Technologies – June 24 th 2009
Outline• Context • Charge traps memories with high-k
control dielectrics• Modelling and simulation
– Nitride ab-initio– Device physical modelling– Device TCAD simulation
• Conclusions
G. Molas 13Workshop on Innovative Memory Technologies – June 24 th 2009
Ab-initio: SiN Band-gap calculations
β phase
•Consideration of defects: N and Si vacancies, saturated with H species (measured by MIR) � Are the defects electrically active (e- energy states in the gap)?
Objectives:
Study of the origin of charge trapping in SiN layers
E. Vianello, P. Blaise et al.
G. Molas 14Workshop on Innovative Memory Technologies – June 24 th 2009
x VG
program Vprogram V GG>>0>>0
retention Vretention V GG=0=0
(1)
(1) Tunnel-In (FN, DT, mFN, B-T)
(2)
(2)
(2) Electron transport + capture/emission
(3)
(3) (3)
(3) Tunnel-Out
x
J in
Jout
Jout
Jout
Device physical modellingPoly-Si
SiO2
Si3N4
Al 2O3
[E. Vianello, ESSDERC 2008]
• Motion of electrons in SiN:Drift-Diffusion
•Interaction between the electrons in the CB and in the energy gap
••Emission rateEmission rate (Poole-Frenkel)
G. Molas 15Workshop on Innovative Memory Technologies – June 24 th 2009
Jout Joute-
JoutJout
Si GateAl 2O3SiO2 Si3N4
e-
Thermal emission in Si 3N4
Trapped charge redistributionT=250°C
Immediately After programming
During retention0
2x1019
4x1019
0 3 60
2x1019
4x1019
Trapped chargedensity [1/cm 3]
T=250°C
T=250°C
Nitride thickness [nm]
Si GateAl 2O3SiO2 Si3N4
0 3 60
Nitride thickness [nm]
Quick migration to SiO 2 and Al 2O3 interfaces
0
2x1019
4x1019
Trapped chargedensity [1/cm 3]
T=250°C
Trapped charge density [1/cm 3]
Retention at high temperature: Nitride charge distribution
Small retention difference between thin and thick S iN
M. Bocquet et al., IMW 2009
G. Molas 16Workshop on Innovative Memory Technologies – June 24 th 2009
In programming mode: Vg1=1V: Id limited by the conduction in the access transistor (weak inversion). Low consumption. Vmg=9V: generates the vertical electric field for S SI
TCAD: SONOS Split gate architectures
AG
MG
AG
MG
0 1 2 3 4 51E-3
0.01
0.1
1
10
100
1000
Vd=5VVg2= 0V 2V 4V 6V 8V 10V
Dra
in C
urre
nt Id
[uA
/um
]
Access Gate Voltage Vg1 [V]
Memory gate bias ↑↑↑↑
LETI program in collaboration with STM
Simulated structure defined using Synopsis tool
E. Nowak et al.
G. Molas 17Workshop on Innovative Memory Technologies – June 24 th 2009
Outline• Context • Charge traps memories with high-k
control dielectrics• Modelling and simulation• Conclusions
G. Molas 18Workshop on Innovative Memory Technologies – June 24 th 2009
Conclusions 1/2Charge trap memories with high-k control dielectrics
� Coupling ratio ( εεεε): good PE speed with Hf-rich samples
� Insulating capabilities: high bandgap, low E A with Al-rich samples
� Thermal stability (crystallization T°): increases w ith %Hf
High-k control dielectrics engineering of SANOSHfAlO: by tuning the Hf/Al concentration of HfAlO al loys, a good compromise can be achieved in terms of:
Impact of nitride thickness on retentionRetention at room temperature increases with SiN thi cknessThickness dependance disappears at high temperatures
Improvement of SANOS memory retention by using a HT O/Al2O3control dielectrics double layer
Impact of control gate on erasingMetal (TiN, TaN, TaAlN) an P+ control gates reduce erase saturation at high voltages
G. Molas 19Workshop on Innovative Memory Technologies – June 24 th 2009
Physical modelling of nitride memories based on drift diffusion in nitride���� Quantitative description of the charge redistributi on in nitride at high temperature during retention
Conclusions 2/2Modelling and simulations
Ab-initio simulations of nitride layers (DFT, GW)���� Evaluation of the intrinsic properties of nitride (ban dgap, impacts of defects on electrical traps…)���� Simulation hypotheses based on physical and morphological characterisation of nitride layers
TCAD simulations allow to evaluate the potentiality of new architectures���� Reduced consumption in SONOS split gate memories in comparison with 1T architectures
G. Molas 20Workshop on Innovative Memory Technologies – June 24 th 2009
Acknowledgments
B. De Salvo (leader of the advanced memory activity), M. Bocquet, E. Vianello, J. P. Colonna, M. Gély, E. Nowak, L.
Perniola, H. Grampeix, P. Blaise, P. Brianceau, F. Martin, C. Licitra, N. Rochat, E. Martinez, A. M. Papon, H. Dansas, P. Besson, P.
Scheiblin, V. Vidal, A. Toffoli, R. Kies, G. Ghibau do, G. Pananakakis, O. Boissière…
CEA-LETI – MINATEC Grenoble, France
CNRS – IMEP Grenoble, France
LETI cleanroom facilities
Aixtron, USA
IU.NET, Udine, Italy