Chapter 2 The TFT flash memory fabrication and experimental measurement
2.3 The disturbance
The first failure phenomenon, “program disturbance,” often takes place under the electrical stress applied to those neighboring un-programmed cells during programming a specific cell in the array. Two types of program disturbances, gate (word-line) disturbance and drain (bit-line) disturbance need be considered. In Fig. 2-3, shows the schematic circuitry of the memory array. During programming cell A, gate disturbance occurs in the cell B and same for those cells connected with the same word-line because the gate stress is applied to the
same word-line (WL). This is called gate disturbance. During programming cell A, drain disturbance occurs in the cell C and same for those cells connected with the same bit-line because the drain stress is applied to the same bit-line (BL). This is call drain disturbance. For the cell reading, the unwanted electron injection would happen while the word-line voltage and bit-line voltage are under read operation. This phenomenon would result in a significant threshold voltage shift of our selected reading cell. This is call read disturbance.
G D S
Fig. 2-1 Schematic cross section of the TFT flash memory.
Bit2 Bit1
+
Poly
Blocking oxide High-k
Tunnel oxide
n + Poly n +
SiO
2Si wafer
Gate
Trapping layer
Source
Fig. 2-2 Illustration of hot electron injection in a TFT memory.
Drain
Si substrate
SiO
2Gate
Drain (BL)
(WL)
A B
C
Fig. 2-3 The schematic illustration of disturb condition. Cell A is the programming cell.
Cell B and Cell C are the gate disturb and drain disturb, respectively.
Chapter 3
The electrical characteristics of TFT flash memory
3-1 TFT Flash Memory Characteristics
ages of the gate stacks of poly-Si TFT memories. F
2
2
of the poly-Si TFT memories with HfO2,
Hf-silicate and Zr-silicate trapp
2
2
peratu Fig. 3-1 shows the cross-sectional HRTEM im
or all samples, the thicknesses of the tunnel oxide and blocking oxide layer are 9nm and 33nm, respectively. The trapping layer thicknesses are 9.8nm, 20.1nm and 13.9nm for the memories with HfO , Hf silicate, and Zr silicate, respectively. Fig. 3-2 illustrates the corresponding diffraction patterns taken from the three high-k dielectric trapping layers. It is found that HfO and Hf silicate samples depict less degree of crystallization than Zr silicate after 600°C, 24hrs dopant activation.
Fig. 3-3 (a)-(c) show the Ids-Vgs curves
ing layers under fresh, programmed and erased states. Channel hot-electron injection and band-to-band hot-hole injection were employed for programming and erasing, respectively, and the programming/erasing times are 1s. It is clearly observed that the memory windows are quite large. For Vg=Vd=12V, a memory window larger than 5V can be easily achieved for Hf-silicate and Zr-silicate memories. Program/erase characteristics of the poly-Si TFT memories with HfO , Hf-silicate and Zr-silicate trapping layers are shown in Figs 3-4 (a)-(c), respectively.We can see that the program time can be as short as 1ms for a window close to 1V with the operation condition of Vg=Vd=10V, and the erase time is about 1ms with Vg=-10V and Vd=10V for all cases. Data retention is an important reliability issue of TFT flash memory devices. Figs.3-5 (a)-(c) show the retention behavior of TFT flash memory device with different trapping layers (HfO , Hf-silicate, and Zr-silicate) in programmed state, at room temperature (25℃) and high temperature (85℃), respectively. The charge loss behavior under the high tem re condition is accelerated
seriously than that under the room temperature condition. Their charge loss may be resulted from possible detrapping processes. This detrapping process means that the trapped electrons near the oxide-trapping layer interface would escape into the substrate or the gate due to the trap-assisted tunneling[8]. Meanwhile, the endurance characteristics after 105 P/E cycles for the memories with HfO2, Hf- silicate and Zr-silicate trapping layers are shown in Figs 3-6 (a)-(c).The programming and erasing conditions are Vg=Vd=12V for 1ms and Vg=-10V, Vd=10V for 10ms for both samples, respectively. Despite the occurrence of significant memory window narrowing, a memory window of about 2V is sustained even after 105 P/E cycles. The origin of the narrowing over cycling, mainly coming from the increase of Vt in erased state, might be due to two factors: The first is the mismatch between the localized spatial distributions for injected electrons and holes by using channel hot-electron programming and band-to-band hot-hole erasing. The uncompensated electrons will then cause the Vt to increase gradually over P/E cycling. The other is the stress-induced electron traps generated in the tunnel oxide during cycling. Therefore, in pursuing superior performance in charge storage capability of these new TFT memories, nano-dots formation [9], if feasible, and higher quality tunnel oxide are highly recommended. The cycling retention was an important issue for the TFT flash memory device. Therefore, we studied the retention loss behavior of TFT flash memory device with Hf-silicate trapping layer before and after 10k cycling. Fig.3-7 and 3-8 show the cycling retention behavior of TFT flash memory device with different tunneling oxide thickness (20 nm & 9 nm) in programmed state, at room temperature (25℃) and high temperature (85℃), respectively. As we can see in Fig.3-7, the charge loss behavior of the sample with 10k cycling is accelerated seriously than the sample without 10k cycling under the room temperature condition. Besides, the samples with thinner tunneling oxide have shown the same tendency in cycling retention performance under the room temperature condition as illustrated in Fig.3-8. However, the sample with thicker tunneling oxide (20 nm) shown the better cycling retention performance than the sample with
thinner tunneling oxide (9 nm) as shown in both Fig.3-7 and 3-8. The threshold voltage of the TFT flash memory device with 20 nm tunneling oxide has only shown 20 % shift as indicated in Fig.3-7. Fig. 3-9 demonstrates the feasibility of 2-bit operation with a reverse read scheme in a single cell for our poly-Si TFT memories. From the Ids-Vgs curves, we can employ forward/reverse reads for detecting the information stored in programmed bit1/bit2, respectively. Table1 is the scheme of the bias conditions for the 2-bits/cell memory operation.
3-2 Disturb Characteristics
on, program disturbance, often takes place under the electrical stress applied to those neighbor
The first failure phenomen
ing un-programmed cells during programming a specific cell in the array. Two types of program disturbances, gate (word-line) disturbance and drain/source (bit-line) disturbance need to be considered. Fig. 2-3 shows the schematic circuitry of the memory array. During programming cell A, gate disturbance occurs in the cell B and those connected with the same word-line because the gate stress is applied to the same word-line (WL). Fig. 3-10 (a)-(c) show the gate disturb characteristics. After 1000s at 25°C, small extent of gate disturbance was found. During programming cell A, drain disturbance occurs in the cell C and those connected with the same bit-line because the drain stress is applied to the same bit-line (BL). Fig. 3-11 (a)-(c) show the drain disturb characteristics. After constant Vd stress1000s at 25°C and 85°C, we can find high voltage and high temperature stress resulting in a more terrible drain disturbance than low voltage and temperature stress.
This phenomenon is believed due to the presence of the localized traps along the grain boundaries in the channel, which can significantly affect the Vt shift through drain and gate bias stressing [10-11]. Therefore, to eliminate the traps along the grain boundaries in the channel is another key for achieving better performance. In addition, the read disturb characteristic is shown in Figs. 3-12 (a)-(c). For the cell reading, the unwanted electron injection would happen while the word-line voltage and bit-line voltage are under read operation. This phenomenon would result in a significant threshold voltage shift of our selected reading cell. However, the threshold voltage shift of the read disturbance was only 0.1V for all three samples after 1000s at 25°C as shown in Figs. 3-12 (a)-(c). This result means that the apparent read disturbance was not observed in our device. Because the gate voltage and drain voltage were different while the device was operated in program state and read state, respectively. The gate voltage and drain voltage for the reading operation are smaller than that in the program state. The gate voltage of the reading operation would not
induce in the serious grain boundaries trap and interface state trap. And so the read disturbance was not degraded as shown in Fig. 3-12 (a)-(c).
ig. 3-1 Cross-sectional HRTEM images of the gate stacks for the poly-Si TFT memories
2
F
with (a) HfO , (b) Hf silicate, and (c) Zr silicate trapping layers.
ig. 3-2 Diffraction patterns of (a)HfO2, (b)Hf silicate, and (c)Zr silicate trapping layers.
2
F
HfO and Hf silicate samples depict less degree of crystallization than Zr silicate.
HfO 2 T-oxide 90A Lg=1µm
Fig. 3-3 (a) Ids-Vgs curves of the memory in the programmed/erased states for different programming conditions. The trapping layer is HfO2. The programming and erasing times are 1s. A memory window of larger than 5V can be achieved with Vg= Vd=13V programming condition.
HfSiO T-oxide 90A Lg=1µm
program Vg=Vd=10V program Vg=Vd=12V Erase
Id (A)
Fig. 3-3 (b) Ids-Vgs curves of the memory in the programmed/erased states for different programming conditions. The trapping layer is Hf-silicate. The programming and erasing times are 1s. A memory window of larger than 5V can be achieved with Vg=
Vd=12V programming condition.
ZrSiO T-oxide 90A Lg=1µm
Fig. 3-3 (c) Ids-Vgs curves of the memory in the programmed/erased states for different programming conditions. The trapping layer is Zr-silicate. The programming and erasing times are 1s. A memory window of larger than 5V can be achieved with Vg=
Vd=13V programming condition.
HfO2 T-oxide 90A Lg=1µm
Fig. 3-4 (a) Program and erase characteristics of poly-Si TFT memory with HfO2
trapping layer for different programming conditions. The programming time can be as short as 0.1ms if the window margin is set to 1V with Vg=Vd=10V. The erasing time is about 0.1 ms
HfSiO T-oxide 90A Lg=1µm
HfSiO Vg=Vd=8 Vs=0 HfSiO Vg=Vd=9 Vs=0 HfSiO Vg=Vd=10 Vs=0
Fig. 3-4 (b) Program and erase characteristics of poly-Si TFT memory with Hf-silicate trapping layer for different programming conditions. The programming time can be as short as 1ms if the window margin is set to 1V with Vg=Vd=10V. The erasing time is about 1 ms
ZrSiO T-oxide 90A Lg=1µm
ZrSiO Vg=Vd=8 Vs=0ZrSiO Vg=Vd=9 Vs=0 ZrSiO Vg=Vd=10 Vs=0
Fig. 3-4 (c) Program and erase characteristics of poly-Si TFT memory with Zr-silicate trapping layer for different programming conditions. The programming time can be as short as 0.1ms if the window margin is set to 1V with Vg=Vd=10V. The erasing time is about 0.1 ms
Time(s)
100 101 102 103 104 105 106 107 108
Charge loss (%)
0 20 40 60 80 100 120
HfO2 tox 90A 25oC HfO2 tox 90A 85oC
Fig. 3-5 (a) Data retention characteristics of poly-Si TFT memory with HfO2 trapping layer at T=25℃ and T=85℃.
Time(s)
100 101 102 103 104 105 106 107 108
Charge loss (%)
0 20 40 60 80 100 120
Hf-silicate tox 90A 25oC Hf-silicate tox 90A 85oC
Fig. 3-5 (b) Data retention characteristics of poly-Si TFT memory with Hf-silicate apping layer at T=25℃ and T=85℃.
tr
Time(s)
10
010
110
210
310
410
510
610
710
8Charge loss
0 20 40 60 80 100 120
Zr-silicate tox 90A 25oC Zr-silicate tox 90A 85oC
Fig. 3-5 (c) Data retention characteristics of poly-Si TFT memory with Zr-silicate g layer at T=25℃ and T=85℃.
trappin
HfO2 t-oxide 90A Lg=1µm
PE cycles
100 101 102 103 104 105
Vt (V)
2 4 6 8 10
E: Vg= -10V, Vd=10V, T=10ms P: Vg= 12V, Vd=12V, T=1ms
characteristics of HfO2 poly-Si TFT memory. Memory window Fig. 3-6 (a) Endurance
narrows to about 2V after 105 P/E cycles.
HfSiO t-oxide 90A Lg=1µm
PE cycles
100 101 102 103 104 105
Vt (V)
0 2 4 6 8 10
E: Vg= -10V, Vd=10V, T=10ms P: Vg= 12V, Vd=12V, T=1ms
Fig 3-6 (b) Endurance characteristics of Hf-silicate poly-Si TFT memory. Memory window narrowing is less significant and the window is slightly lower than 4V after 10 5
P/E cycles.
ZrSiO t-oxide 90A Lg=1µm
PE cycles
100 101 102 103 104 105
Vt (V)
0 2 4 6 8 10
E: Vg= -10V, Vd=10V, T=10ms P: Vg= 12V, Vd=12V, T=1ms
Fig 3-6 (c) Endurance characteristics of Zr-silicate poly-Si TFT memory. Memory window narrowing is less significant and the window is slightly lower than 4V after 10 5
P/E cycles.
T-oxide 90A retention cycling & fresh
Hf-silicate fresh 25
oC Hf-silicate fresh 85
oC
Hf-silicate after cycling 25
oC Hf-silicate after cycling 85
oC
Fig. 3-7 Data retention characteristics of poly-Si TFT memories with cycling an h
e.
d fres at T=25℃ and T=85℃. The tunneling oxide thickness is 9nm, and trapping layer is Hf-silicat
T-oxide 200A retention cycling & fresh
Hf-silicate fresh 25
oC Hf-silicate fresh 85
oC
Hf-silicate after cycling 25
oC Hf-silicate after cycling 85
oC
Fig. 3-8 Data retention characteristics of poly-Si TFT memories with cycling and fresh
te
at T=25℃ and T=85℃. The tunneling oxide thickness is 20nm, and trapping layer is Hf-silica .
2-bits/cell operation
Forward read, Vd=1 E: Bit1, P: Bit2
Reverse read, Vs=1
Fig. 3-9 Demonstration of 2 bits/cell operation. E: erased; P: programmed; Bit1: drain side; Bit2: source side.
Table 1. Suggested bias conditions for the 2 bits/cell memory operation.
Program Erase Read
Vg 12 V -10 V 3 V Vd 12 V 10 V 0 V Bit1
Vs 0 V 0 V 1 V
Vg 12 V -10 V 3 V
Vd 0 V 0 V 1 V
Bit2
Vs 12 V 10 V 0 V
HfO 2 T-Oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1.0 -0.5 0.0 0.5 1.0
HfO2 Vg=10 Vd=Vs=0 HfO2 Vg=12 Vd=Vs=0
Fig. 3-10 (a) Programming gate disturb characteristics of HfO2 poly-Si TFT memory with different voltages.
HfSiO T-oxide 90A Lg=1µm
Stress Time(s)
1 10 100 1000
-1.0 -0.5 0.0 0.5 1.0
HfSiO Vg=10 Vd=Vs=0 HfSiO Vg=12 Vd=Vs=0
Vt shift (V)
Fig. 3-10 (b) Programming gate disturb characteristics of Hf-silicate poly-Si TFT memory with different voltages.
ZrSiO T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000 10000
Vt shift (V)
-1.5 -1.0 -0.5 0.0 0.5 1.0
ZrSiO Vg=10 Vd=Vs=0 ZrSiO Vg=12 Vd=Vs=0
Fig. 3-10 (c) Programming gate disturb characteristics of Zr-silicate poly-Si TFT memory with different voltages.
HfO2 T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1 0 1 2
HfO2 Vd=10 Vg=Vs=0 25oC HfO2 Vd=12 Vg=Vs=0 25oC HfO2 Vd=10 Vg=Vs=0 85oC HfO2 Vd=12 Vg=Vs=0 85oC
Fig.3-11 (a) Drain disturb characteristics of HfO2 poly-Si TFT memory with different temperatures and voltages.
HfSiO T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1 0 1
2 HfSiO Vd=10 Vg=Vs=0 25oC HfSiO Vd=12 Vg=Vs=0 25oC HfSiO Vd=10 Vg=Vs=0 85oC HfSiO Vd=12 Vg=Vs=0 85oC
Fig. 3-11 (b) Drain disturb characteristics of Hf-silicate poly-Si TFT memory with different temperatures and voltages.
ZrSiO T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1 0 1
2 ZrSiO Vd=10 Vg=Vs=0 25oC ZrSiO Vd=12 Vg=Vs=0 25oC ZrSiO Vd=10 Vg=Vs=0 85oC ZrSiO Vd=12 Vg=Vs=0 85oC
Fig. 3-11 (c) Drain disturb characteristics of Zr-silicate poly-Si TFT memory with different temperatures and voltages.
HfO 2 T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1.0 -0.5 0.0 0.5 1.0
HfO2 Vg=3 Vd=1 Vs=0 HfO2 Vg=3 Vd=2 Vs=0
Fig. 3-12 (a) Read disturb characteristics of HfO2 poly-Si TFT memory with different read conditions at 25°C.
HfSiO T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1.0 -0.5 0.0 0.5 1.0
HfSiO Vg=3 Vd=1 Vs=0 HfSiO Vg=3 Vd=2 Vs=0
Fig. 3-12 (b) Read disturb characteristics of Hf-silicate poly-Si TFT memory with different read conditions at 25°C
ZrSiO T-oxide 90A Lg=1µm
Stress Time (s)
1 10 100 1000
Vt shift (V)
-1.0 -0.5 0.0 0.5 1.0
ZrSiO Vg=3 Vd=1 Vs=0 ZrSiO Vg=3 Vd=2 Vs=0
Fig. 3-12 (c) Read disturb characteristics of Zr-silicate poly-Si TFT memory with different read conditions at 25°C
Chapter 4
The electrical charact h different tunneling
4-1 Different tunneling oxide thickness
of the TFT flash memory device after NH3
plasm
eratu
eristics wit
oxide thickness and improvement of NH
3plasma treatment
Fig.4-1 (a)-(c) show the retention behavior
a treatment with different trapping layers (HfO2, Hf-silicate, and Zr-silicate) in programmed state, at room temperature (25℃) and high temperature (85℃), respectively. As we mentioned above, the charge loss behavior under the high temp re condition is accelerated seriously than that under the room temperature condition. However, the device with thicker tunneling oxide thickness (20 nm) would have better retention performance than the sample with thinner tunneling oxide thickness (9 nm) as shown in Fig. 4-1 (a)-(c). In addition, the same tendency that the charge loss improved for the device with thicker tunneling oxide thickness was happened for the device with different trapping layers (HfO2, Hf-silicate, and Zr-silicate). It has been reputed that [12] the flash memory device with the thicker tunneling oxide thickness resulted in a worse performance during P/E speed.
Fortunately, this degradation of P/E speed for the different tunneling oxide thickness was not observed in our device as shown in Fig.4-2 (a)-(c). The reason for this phenomenon is the different way of the programming. For the sample with F-N programming [12], the thicker tunneling oxide thickness would have smaller electrical field resulted in the degradation of P/E speed. On the other hand, the device with channel hot electron programming would not degrade the P/E speed, resulting from the lucky electron of channel hot electron injection [13].
According to the lucky electron model of channel hot electron injection [13], the P(Eox) were
the same order for the different tunneling oxide thickness with results in the devices with the different tunneling oxide thickness still have almost the same gate current. This reason explains why our device with thicker tunneling oxide thickness can a have better retention behavior while maintaining the P/E speed performance.
The characteristics of gate disturbance for the TFT flash memory devices after NH3 plasma treatment with different trapping layers (HfO2, Hf-silicate, and Zr-silicate) and tunneling oxide thickness ( 20 nm & 9 nm) under different applied gate bias stress were shown in Fig.4-3 (a)-(c), respectively. As we can see in Fig.4-3 (a), the threshold voltage shift under 10 V applied gate voltage was smaller than the 12 V applied gate voltage for the device with 9 nm tunneling oxide. But this large Vt shift would much improved for the device with thicker tunneling oxide (20 nm) as shown in this figure. When the applied gate bias was 10 V, the threshold voltage shift was only about -0.2 V for the device with 20 nm tunneling oxide. The same trend was shown in all devices with different trapping layers (HfO2, Hf-silicate, and Zr-silicate) as illustrated in Fig.4-3 (a)-(c). The reason for the improvement of gate disturbance for the device under different gate bias stress is the applied gate bias induced grain boundary trap [14] or interface state trap [14]. The gate disturbance can be affected by the grain boundary trap and the interface state trap. As the grain boundary trap and interface state trap increase, the gate disturbance would become more serious. Because of the threshold voltage was defined as gate voltage and would also been affected by the surface potential [14].
The surface potential would be larger for the device with the thinner gate oxide thickness than the device with the thicker gate oxide thickness resulted in the large trapping density while the applied gate voltage was the same value. In addition, the threshold voltage shift would also be more serious. This discussion can explain why the device with thicker tunneling oxide thickness would have better gate disturbance behavior. The same tendency was famed in all devices with different trapping layers (HfO2, Hf-silicate, and Zr-silicate) as shown in Fig. 4-3 (a)-(c). Even the same trend happened in different trapping layers, the device with the HfO2
and Hf-silicate trapping layer exhibit the better gate disturbance performance as indicated in these three figures.
The drain disturbance behavior of the TFT flash memory device after NH3 plasma treatment with different trapping layers (HfO2, Hf-silicate, and Zr-silicate) and tunneling oxide thickness ( 20 nm & 9 nm) under different applied gate bias stress were shown in Fig.4-4 (a)-(c), respectively. The drain disturbance was not serious in our samples as shown in these figures. The threshold voltage shift was only about 0.5 V for the devices with the HfO2 and Hf-silicate trapping layer and 0.7 V for the device with Zr-silicate trapping layer, respectively. We can find that the different thickness of tunneling oxide thickness have no effect on the drain disturbance. But the applied drain bias significantly influenced the threshold voltage shift as indicated in these three figures. The Vt shift was increased with increasing of applied drain voltage stress. For the same tunneling oxide thickness, the threshold voltage shift under the low drain bias stress (10 V) was 0.25V smaller than that with the high drain bias stress (12 V). In addition, the same trend was found for all devices with different trapping layers as illustrated in Fig.4-4 (a)-(c).
4-2 Improvement of NH
3plasma treatment
methods to improve the SiO2/poly-Si interf
The NH3 plasma treatment is one of the useful
ace and channel quality, resulting from the NH3 plasma treatment can eliminate the trap density in both the SiO2/poly-Si interface and channel. Fig.4-5 shown the retention behavior of the TFT flash memory with and without NH3 plasma treatment. As we can see in this figure, the device with NH3 plasma treatment had a better retention loss than the sample without NH3 plasma treatment. Without the NH3 plasma treatment, the charge loss of the sample with Hf-silicate trapping layer was loss more than 20% while the samples with HfO2
and Zr-silicate trapping layers were loss more than 40%. After the NH3 plasma treatment, the charge loss of all the samples were much improved as shown in this figure. This result approved that the NH3 plasma treatment was a very promising approach to improve the retention behavior of the TFT flash memory. In addition, the NH3 plasma treatment can improve the drain disturbance of the TFT flash memory device as indicated in Fig.4-6 (a)-(c).
These three figures compared the improvement of NH3 plasma treatment for the devices with
These three figures compared the improvement of NH3 plasma treatment for the devices with