I. INTRODUCTION
The development of large-scale and high-density non-volatile memory devices is continuously
driven by the rapid growth of data-intensive applications such as neuromorphic hardware,
content-addressable memory (CAM), edge-computing, as well as by increasing demand
for conventional solid-state devices (SSDs) [1-
7]. To meet these demands, vertical stacking has emerged as a key scaling paradigm in
3D NAND flash memory, enabling dramatic improvements in bit density by increasing
the number of word-line (WL) stacks. Recent 3D NAND flash technologies have now exceeded
500 stacked WLs and continue advancing toward even higher integration [8].
However, as the vertical height of memory strings increases, maintaining structural
and material uniformity becomes increasingly difficult. High-aspect-ratio (HAR) channel
hole etch processes challenge the ability to form vertical profiles with consistent
critical dimensions (CD), and nonidealities such as tapered channel holes or elliptical
cross-sections become more prevalent, as shown in Figs. 1(a) and 1(b)
[9,
10]. Concurrently, conformal deposition of the oxide/nitride/oxide (ONO) stacks for charge-trapping
into deep channel holes is increasingly limited by aspect ratio constraints, often
resulting in ONO thickness variation along the vertical direction or around the azimuthal
perimeter [7,
11]. These fabrication-induced variations degrade gate controllability and introduce
cell-to-cell variation, particularly in the threshold voltage ($V_{th}$), subthreshold
swing ($SS$), and bit-line (BL) current ($I_{BL}$) after program operation.
In addition, the surge in edge computing and artificial intelligence (AI) accelerator
applications has led to more thermally demanding operating environments, in which
the operating temperature is close to 373 K [12,
13]. As I/O circuits scale in performance, 3D NAND flash memory is exposed to elevated
temperatures. Since the $V_{th}$ intrinsically decreases with temperature owing to
the reduction of the Fermi potential and the associated depletion charge, the apparent
read $V_{th}$ of a programmed cell shifts to lower values at high temperatures, even
without any additional charge loss in terms of data retention, as depicted in Fig. 1(c)
[12]. This temperature-dependent $V_{th}$ shift must be considered when defining reference
voltages and sensing conditions, particularly for aggressively scaled multi-level
operation, such as quad-level cell (QLC) and penta-level cell (PLC) [14].
Fig. 1. (a) Channel hole profile along the WL location and cell structure of 3D NAND
flash memory. The physical device parameters are depicted. (b) Plan view of 3D NAND
flash memory cells with fabrication variation: conventional hole profile, elliptic
hole profile, thick ONO stack, and thin ONO stack. (c) The threshold voltage (Vth)
distributions of 3D NAND flash utilizing triple-level cell (TLC) operation with various
read temperatures.
In this work, we investigate the impact of channel hole diameter ($d_{hole}$) scaling
and fabrication-induced channel hole profile variations on 3D NAND flash device performance.
Using technology computer-aided design (TCAD) simulations, we examine the effects
of channel tapering, ellipticity, and ONO stack variation on $V_{th}$, $SS$, and $I_{BL}$
in both the pristine and programmed states with practical device dimensions. Furthermore,
we evaluate how elevated operating temperatures interact with these structural nonidealities
to degrade $V_{th}$ stability. The findings provide critical insights into design
and process considerations necessary to enable future 3D NAND flash scaling beyond
500 WL stacks.
II. SIMULATION CONDITION
A single string of 3D NAND flash memory with four WLs is simulated as shown in Fig. 1(a). The 3D device simulation was performed to analyze electrical characteristics according
to the structural properties. The following physical models are included in the device
simulation: nonlocal tunneling, the Shockley-Read-Hall recombination, and drift-diffusion
transport [15]. The simulation parameters were carefully calibrated with reference to experimental
data from fabricated 3D NAND flash memory devices based on our previous works [16,
17]. Detailed specifications for the simulation are summarized in Table 1.
The fabrication-induced variations arising from channel hole etch and ONO stack deposition
are simulated using the variation of device parameters. First, $d_{hole}$ is reduced
toward the bottom WLs due to the vertical tapering angle [18,
19]. Thus, the $d_{hole}$ range of 130 nm to 70 nm is simulated which reflects typical
dimensions of commercial 3D NAND flash technologies [7]. Second, the elliptic hole profile is considered with various ellipticity ($a/b >
1$) of an ellipse to account for non-idealities of channel profiles in the HAR hole
etch process [9]. Last, ONO thickness ($t_{ONO}$), ranging from 15 to 20 nm, incorporates a fluctuation
of ~ 10 % during the deposition process [18]. The fluctuation of $t_{ONO}$ accounts for both chip-to-chip and WL-to-WL device
variations due to the difficulty of uniform deposition along deep and narrow channel
holes [20].
The influence of high temperature on read characteristics is evaluated over a range
of 300K to 373K, where 300K corresponds to the programming temperature condition.
Table 1. Simulation parameters for 3D NAND flash memory.
|
Parameters
|
Values
|
|
Channel hole diameters ($d_{hole}$)
|
70, 90, 110, 130 nm
|
|
Gate length ($L_{gate}$)
|
24 nm
|
|
Inter-cell length ($L_{inter}$)
|
20 nm
|
|
Thickness of ONO stack ($t_{ONO}$)
|
15, 16, 17, 19, 20 nm
|
|
Channel thickness ($t_{ch}$)
|
7 nm
|
|
Gate work function
|
4.17 eV
|
|
Electron trap energy level in Si3N4
|
$-1.0\text{ eV}$ from $E_C$
|
|
Hole trap energy level in Si3N4
|
$-2.5\text{ eV}$ from $E_C$
|
|
Effective tunneling mass in SiO2
|
Electron: $0.23m_0$ / Hole: $0.29m_0$
|
III. RESULTS AND DISCUSSIONS
1. Influence of Channel Hole Diameter on 3D NAND Flash Memory
To investigate the impact of the channel hole geometry, device characteristics were
analyzed by varying $d_{hole}$ with fixed parameters of $t_{ONO} = 17\text{ nm}$,
$t_{ch} = 7\text{ nm}$, and $L_g = 24\text{ nm}$. Fig. 2(a) shows the $I_{BL}$-$V_{WL}$ curves for both pristine and programmed states under
the same bias condition. As shown in Fig. 2(b), reducing $d_{hole}$ leads to a monotonic increase in $V_{th}$ and a steeper $SS$,
which is consistent with the well-known electrostatic advantage of macaroni-type gate-all-around
(GAA) structures. Thus, reducing the $d_{hole}$ strengthens the gate controllability
over the channel potential, thereby suppressing short-channel effects (SCEs) such
as drain-induced barrier lowering (DIBL) and $V_{th}$ roll-off [21,
22].
Fig. 2. (a) IBL-VWL characteristics of the 3D NAND flash memory cells with various
channel hole diameter (dhole). 20 V program bias and 8 µs program time are applied
to pristine cells. (b) The trend of threshold voltage (Vth) and subthreshold swing
(SS) with various dhole. Vth is extracted using constant current method from a BL
current (IBL) of 1 nA. (c) Radial electric field distribution during program operation.
(d) IBL according to the overdrive voltage (Vov).
The program characteristics are also strongly affected by the $d_{hole}$. The programmed
$V_{th}$ increases as $d_{hole}$ shrinks, primarily driven by the progressive widening
of the program window ($\Delta V_{th}$) between the pristine and programmed states,
as shown in Fig. 2(b). This phenomenon is attributed to the electric field curvature effect inherent to
cylindrical structures [23,
24]. Fig. 2(c) shows the radial electric-field distribution across the ONO stack during program
operation. As the curvature radius decreases, the electric field across the tunneling
oxide increases significantly, whereas the field in the blocking oxide is slightly
relaxed. This geometry-induced field enhancement exponentially boosts the Fowler-Nordheim
(FN) tunneling from channel to CTL while mitigating the back tunneling from CTL to
gate, thereby maximizing programming efficiency.
On the other hand, $I_{BL}$ exhibits an opposite trend. Fig. 2(d) shows $I_{BL}$ as a function of the $d_{hole}$ for various overdrive voltages ($V_{ov}
= V_{WL} - V_{th\text{, programmed}}$). At a fixed $V_{ov} = 1.5\text{ V}$, $I_{BL}$
increases almost linearly with $d_{hole}$. This behavior arises because the thin macaroni
body operates under quasi-volume inversion, where the inversion layer extends across
the entire silicon shell, rendering the effective conduction width proportional to
the channel circumference [21,
25]. This reflects a fundamental trade-off: smaller channels provide superior program
efficiency at the expense of reduced drive current. However, under the low-$V_{ov}$
conditions relevant to multi-level operation, the current difference between large
and small diameters becomes less pronounced because the improved $SS$ of the smaller-diameter
cells compensates for the reduced perimeter. Thus, properly optimized small-diameter
channels can simultaneously secure a wide program window and sufficient read current
within a limited memory window, which is favorable for high-density multi-level 3D
NAND flash memory.
2. Influence of Fabrication-Induced Variations on 3D NAND Flash Memory
Structural non-idealities originating from HAR etching are represented by an elliptic
channel hole, whose distortion is quantified by the ellipticity [26]. Fig. 3(a) depicts that the programmed $V_{th}$ decreases as the ellipticity increases, whereas
the $I_{BL}$ monotonically increases as shown in Fig. 3(b). When the circular channel is distorted into an ellipse, the local radius of curvature
varies along the perimeter: the regions near the major axis have a smaller curvature
radius, whereas those near the minor axis exhibit a larger curvature radius. Under
such conditions, the gate electric field is more weakly coupled to the channel in
the minor-axis sectors, which induces weak program efficiency. Thus, the programmed
$V_{th}$ is determined by the weakly-controlled minor-axis region, and increasing
ellipticity further enlarges the local curvature radius, leading to a reduction of
the global $V_{th}$ [17,
27]. In addition, this $V_{th}$ degradation is more sensitive to the smaller $d_{hole}$.
Since the electric field in the tunneling oxide is inversely proportional to the curvature
radius, the sensitivity of the field to geometric distortion is significantly higher
for smaller dimensions. Thus, even for the same ellipticity, the increase in the curvature
radius at the minor axis induces a much steeper reduction of the electric field in
the tunneling oxide for a smaller $d_{hole}$, resulting in a more severe deterioration
of the programmed $V_{th}$.
Fig. 3. (a) Vth and (b) IBL of the programmed 3D NAND flash memory cells according
to the elliptic hole profile distortion. The ellipticity (a/b) is adjusted by altering
only the length of the major axis while maintaining the length of the minor axis.
Fig. 4. (a) Vth and (b) IBL of the programmed 3D NAND flash memory cells with various
thickness of ONO stacks (tONO). The relative thickness ratio of the oxide/nitride/oxide
layers is kept constant, and only the total ONO stack thickness is varied.
In contrast, the trend of $I_{BL}$ is predominantly governed by the channel cross-section
rather than by the curvature-induced variation of the local $V_{th}$. Under read conditions
with a sufficiently large $V_{ov}$ the entire channel perimeter is driven into inversion.
Thus, increasing ellipticity which enlarges the cross-sectional area at a fixed length
of minor axis, leads to a monotonic increase in $I_{BL}$.
Fig. 4 illustrates the impact of $t_{ONO}$ variation induced during the deposition process.
A thicker ONO stack reduces the tunneling electric field and increases the tunneling
distance during programming, which lowers the injected charge density in the CTL and
reduces the programmed $V_{th}$. The sensitivity of $V_{th}$ to $t_{ONO}$ becomes
weaker as $d_{hole}$ decreases, since the strong radial confinement in small-diameter
GAA channels concentrates the electric field in the tunneling oxide and partially
compensates for variations of the physical oxide thickness. In contrast, the dependence
of $I_{BL}$ on $t_{ONO}$ is relatively weak (Fig. 4(b)); a slight reduction of current with increasing $t_{ONO}$ is attributed to the reduction
of the cross-sectional area of the silicon channel.
3. Temperature Dependency of the Read Operation
The effect of operating temperature on the programmed state is illustrated in Fig. 5. As the read temperature increases from 300 K to 373 K, the programmed $V_{th}$ gradually
shifts to lower values for all channel diameters (Fig. 5(a)). This trend originates from the intrinsic temperature dependence of $V_{th}$ in
MOSFETs: with increasing temperature, the intrinsic carrier concentration rises, and
the Fermi potential decreases, leading to a reduction in $V_{th}$ even in the absence
of additional charge loss in the CTL [11]. In poly-Si channels, the $V_{th}$ degradation becomes more severe because the potential
barrier at grain boundaries is also lowered as temperature increases, which further
facilitates carrier transport [13].
Fig. 5. (a) Vth and (b) IBL of the programmed 3D NAND flash memory cells according
to the read temperature. The program operation is performed at 300 K.
The $I_{BL}$ exhibits a more pronounced temperature dependence. Fig. 5(b) shows that $I_{BL}$ decreases monotonically with increasing read temperature when
a fixed $V_{ov}$ is maintained. It is owing to the degradation of $SS$ which is proportional
to the temperature. In the subthreshold and near-threshold region relevant to multi-level
sensing, the current further decreases because both the thermal voltage and the $SS$
increase with temperature, reducing the exponential factor in the $I_{BL}$ expression.
Thus, high-temperature operation simultaneously lowers the apparent $V_{th}$ and suppresses
the read current, effectively narrowing the sensing margin. These results highlight
the necessity of reference voltage calibration and compensation schemes in deeply
scaled 3D NAND flash, particularly when small-diameter channels are adopted for high-density
multi-level operation.
IV. CONCLUSIONS
This study investigated the electrical characteristics of 3D NAND flash memory under
the influence of geometric and thermal variations. It was confirmed that reducing
the $d_{hole}$ enhances gate controllability and program efficiency owing to the electrostatic
curvature effect, leading to an increased programmed $V_{th}$ accompanied by a reduction
in $I_{BL}$. However, small-diameter channels exhibited increased sensitivity to elliptic
distortion while suppressing the impact of ONO thickness variation. Furthermore, high-temperature
operation was found to degrade the $SS$, simultaneously lowering the apparent $V_{th}$
and $I_{BL}$. These findings indicate that precise control of structural profiles
and temperature-aware sensing is required for reliable 3D NAND flash scaling.
ACKNOWLEDGMENTS
This work was supported in part by the Samsung Electronics, in part by the MSIT under
Grant RS-2025-02314443 (Development of Flash Memory-based AI Processing Unit for On-Device
AI), Grant IITP-2023-RS-2023-00256081 (Artificial Intelligence Semiconductor Support
Program), in part by Korea Institute for Advancement of Technology (KIAT) grant funded
by the Korea Government (MOTIE) (RS-2025-02214408, HRD Program for Industrial Innovation),
and in part by the BK21 FOUR program of the Education and Research Program for Future
ICT Pioneers, Seoul National University in 2026.
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Jin Ho Chang received the B.S. and M.S. degrees from the Department of Electronic
Engineering, Sogang University, Seoul, South Korea, in 2021 and 2023, respectively.
He is currently working toward a Ph.D. degree with the Department of Electrical and
Computer Engineering, Seoul National University (SNU), Seoul, South Korea. He is also
with the Inter-University Semiconductor Research Center (ISRC), SNU. His current research
interests include NAND flash memory, brain-inspired computing devices, and nanoscale
emerging devices.
Seon Ho Lee received the B.S. degree from the Department of Electrical Engineering
from Korea University, Seoul, Korea. He is currently working toward an integrated
Ph. D. degree in the Department of Electrical and Computer Engineering, Seoul National
University (SNU), Seoul, South Korea. He is also with the Inter-University Semiconductor
Research Center (ISRC), SNU. His current research interests include NAND flash memory.
Jaemin Yeom received the B.S. degree from the Department of Electrical and Computer
Engineering from Seoul National University (SNU), Seoul, South Korea, in 2023. He
is currently working toward the Ph.D. degree with the Department of Electrical and
Computer Engineering, SNU, Seoul, South Korea. He is also with the Inter-University
Semiconductor Research Center (ISRC), SNU. His research interests include ferroelectric,
neuromorphic devices, and NAND flash memory.
Jae Hyun Nam received the B.S. degree from the Department of Electrical and Electronics
Engineering from Chung-Ang University, South Korea in 2023. He is currently working
toward an M.S. degree in the Department of Electrical and Computer Engineering, Seoul
National University (SNU), Seoul, South Korea. He is also with the Inter-University
Semiconductor Research Center (ISRC), SNU. His current research interests include,
NAND Flash Memory.
Kyung Moon Kim received the B.S. degree from the Department of Electronic and Electrical
Engineering from Sungkyunkwan University, South Korea in 2015. In 2016, he joined
Samsung Electronics Company, Ltd., Gyunggi-Do, South Korea. He is currently working
toward an M.S. degree in the Department of Electrical and Computer Engineering, Seoul
National University (SNU), Seoul, Republic of Korea. He is also with the Inter-University
Semiconductor Research Center (ISRC), SNU. His current research interests include
NAND Flash Memory.
Jisun Baek received the B.S. degree from the Department of Advanced Materials Engineering
for Information and Electronics from Kyung Hee University, South Korea, in 2015, and
the M.S. degree from the Department of Materials Science and Engineering from Yonsei
University, South Korea, in 2017. In 2017, she joined Samsung Electronics Company,
Ltd., Gyeonggi-do, South Korea. She is currently working toward a Ph.D. degree in
the Department of Electrical and Computer Engineering, Seoul National University (SNU),
South Korea. Her current research interests include NAND flash memory.
Da Eun Yang received the B.S. degree in the Department of Electronic and Electrical
Engineering from Sungkyunkwan University, South Korea in 2023. She is currently working
toward an M.S. degree in the Department of Electrical and Computer Engineering, Seoul
National University (SNU), Seoul, South Korea. She is also with the Inter-University
Semiconductor Research Center (ISRC), SNU. Her current research interests include
NAND Flash Memory.
Suk-Kang Sung received the B.S., M.S and Ph.D degrees in electrical engineering from
Seoul National University, Seoul, Korea. Since 2004, he has been with Samsung Electronics,
where he has made significant contributions to the field of nonvolatile memory technologies.
From 2004 to 2009, he was engaged in pioneering research on nanoscale CMOS devices
including FinFETs, as well as nonvolatile memory technologies such as Charge Trap
Flash (CTF) and nanocrystal memory, at the Semiconductor Research Center. In 2009,
he transitioned to the Flash Process Architecture Team in the Memory Division of Samsung
Electronics, where he developed several generations of planar floating-gate NAND and
vertical CTF 3D-NAND products. He holds approximately 70 U.S. patents and has authored
and co-authored over 60 technical journal and conference papers. Currently, he serves
as a VP of Technology (Master) at Samsung Electronics, responsible for flash process
architecture design and technological innovations. His current research interests
focus on the integration of flash memory architectures to meet the demands of high-performance
computing in the AI era, as well as the exploration of new nonvolatile memory device
technologies.
Jun Hyoung Kim received the B.S., M.S., and Ph.D. degrees from the Department of Electronic
Engineering from University of Tokyo, Japan in 2007, 2009, and 2016, respectively.
Since 2017, he has been with Samsung Electronics Company, Ltd., Kyungki-Do, Korea.
and researched several generation Vertical 3D-NAND products. From 2022, he joined
the Advanced Flash Technology Team. His current research interests are future nonvolatile
memories including SONOS and nanocrystal memory and emerging device, NAND architecture
for high performance, and highly manufacturable integration process.
Byung Chul Lee received the B.S. and Ph.D. degrees from the Department of Electrical
Engineering from Korea University, Seoul, South Korea, in 2013, 2021, respectively.
In 2021, he Joined Samsung Electronics Company, Ltd., Gyeonggi-do, South Korea.
Woo Young Choi received the B.S., M.S., and Ph.D. degrees from the School of Electrical
Engineering, Seoul National University, Seoul, South Korea, in 2000, 2002, and 2006,
respectively. From 2006 to 2008, he held a postdoctoral position with the Department
of Electrical Engineering and Computer Sciences, University of California at Berkeley,
Berkeley, CA, USA. From 2008 to 2022, he was a professor at the Department of Electronic
Engineering, Sogang University, Seoul. Since 2022, he has been a Faculty Member with
Seoul National University, Seoul, where he is currently a Professor with the Department
of Electrical and Computer Engineering.