(Seongun Shin)
1
(Gyuhan Yoon)
1
(Woo Young Choi)
1†
-
(Department of Electronic Eng., Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul,
Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
DRAM, storage capacitor, etch profile, leakage current, capacitance
I. INTRODUCTION
Increasing the storage capacitance ($C_{s}$) is one of the most important research
topics of downscaling dynamic random access memory (DRAM) cells. However, unfortunately,
as DRAM technology node decreases down to 1x nm, it becomes more challenging to maintain
$C_{s}$ around 25 fF/cell[1]. Conventionally, two ways of improving $C_{s}$ have been generally utilized: introducing
novel high-$k$ materials to storage capacitors and modifying storage capacitor structures.
The former boosts $C_{s}$ per effective surface area ($A_{eff}$) of a storage capacitor
while the latter increases $A_{eff}$ itself[2].
State-of-the-art DRAM cells use high-aspect-ratio (HAR) cylindrical storage capacitor
structures filled with high-$k$ materials, which is problematic in the following two
aspects[3]. First, storage capacitors using high-$k$ materials suffer from high leakage current
($I_{leak}$) due to high trap density ($N_{T}$)[4]. It is a serious problem considering that the retention time of a DRAM chip is heavily
dependent on the $I_{leak}$ of several leaky cells[5]. Second, HAR cylindrical structures need cutting-edge etching technologies to obtain
vertical etch profiles. However, as the aspect ratio of DRAM storage capacitors increases,
their etch profiles become more analogous to the bowed ones[6,7]. Thus, HAR storage capacitors tend to have the top critical dimension ($CD_{TOP}$)
different than the bottom one ($CD_{BOT}$) as shown in Fig. 1(a) unlike the ideal case where $CD_{TOP}$ is equal to $CD_{BOT}$ to obtain the largest
$A_{eff}$ as shown in Fig. 1(b). The key process steps of Fig. 1(a) and Fig. 1(b) are shown in Fig. 2(a) and Fig. 2(b), respectively. A mold layer is dry-etched and then filled with a bottom electrode
layer. Subsequently, the removal of the mold layer is followed by the deposition of
high-$k$ material and top electrode layers. The etched profiles of the mold layer
determine the value of $CD_{BOT}$ / $CD_{TOP}$, whose ideal value is 1. Thus, it is
meaningful to investigate the influence of etch profiles on both $C_{s}$ and $I_{leak}$
of 3-D DRAM storage capacitors. However, most of previous studies have focused on
either of them assuming 1-D or 2-D structures[8-10]. In this manuscript, based on technology computer-aided design (TCAD) simulation,
the effects of etch profiles of 3-D DRAM HAR cylindrical storage capacitors will be
investigated in terms of both $C_{s}$ and $I_{leak}$[11].
Fig. 1. Bird’s eye and cross-sectional views of (a) a 3-D HAR cylindrical storage
capacitor whose $CD_{BOT}$ / $CD_{TOP}$ < 1, (b) a 3-D HAR cylindrical storage capacitor
whose $CD_{BOT}$ / $CD_{TOP}$ = 1, (c) a planar storage capacitor.
Fig. 2. Key process steps of a storage capacitor in (a) the ideal, (b) real case.
II. SIMULATION METHODOLOGY
Fig. 1 summarizes the storage capacitor structures simulated in this manuscript. Metal-insulator-metal
(MIM) capacitors where a ZrO2/Al2O3/ZrO2 (ZAZ) dielectric film sandwiched between TiN electrodes have been used for sub-60-nm
technology nodes[12]. Simulation parameters have been carefully calibrated by experimental data[9]. For calibration, planar storage capacitors are simulated as shown in Fig. 1(c). Table 1 summarizes calibrated simulation parameters.
Table 1. Simulation parameters
Parameters
|
Values
|
Conduction band offset, CBO
|
1.9 eV
|
Trap level, $E_{VO}$
|
1.1 eV
|
Trap concentration, $N_{T}$
|
1x1019 cm-3
|
Tunneling mass, $m_{T}$
|
0.5 me
|
Dominant $I_{leak}$ mechanisms of TiN/ZAZ/TiN (TZAZT) capacitors are Poole-Frenkel
emission (PFE) and trap-assisted tunneling (TAT)[8-10]. Fig. 3 shows the conduction band edge ($E_{c}$) profile of a TZAZT capacitor including charge
transport mechanisms. $I_{leak}$ flows across the capacitor in the following two steps.
First, conduction electrons tunnel from an electrode into the traps in the ZAZ layer
through TAT. The trap level energy ($E_{VO}$) depending on oxygen vacancies determines
$I_{leak}$. Second, trapped electrons are detrapped and then injected into the opposite
electrode through either PFE or TAT depending on the applied electric field intensity.
Under weak electric field, TAT is dominant while PFE is dominant under strong electric
field. Those processes are successfully implemented in our TCAD simulation by using
local PFE and nonlocal inelastic/elastic TAT models. Fig. 4 shows that our simulation results match well with experimental data under various
temperature conditions[9]. It is noteworthy that the experimental data measured at low electric field is ignored
in our steady-state TCAD simulation because it is transient relaxation current depending
on deep traps[9].
Fig. 3. $E_{c}$ profile of a TZAZT capacitor including charge transport mechanisms.
CBO corresponds to conduction band offset between TiN and ZAZ layers. The dashed line
and circle mean $E_{VO}$ and a trapped electron, respectively. $q$ and $V$ are elementary
charge and applied voltage, respectively.
Fig. 4. Calibrated simulation data compared with experimental data[9]. Even if simulation parameters are calibrated at room temperature, simulation data
match well with experimental data over wide temperature range. It is noteworthy that
leakage current at low electric field is ignored during our steady-state simulation
parameter calibration because it is originated from transient relaxation current[9].
The calibrated 2-D simulation results have been extended into 3-D simulation. The
storage cap structures in Fig. 1(a) and Fig. 1(a) are simulated and their dimensions are summarized in Table 2.
Table 2. Simulation dimensions
Dimensions
|
Values
|
Height of capacitor, $H_{CAP}$
|
60 nm
|
Thickness of metal, $T_{METAL}$
|
3 nm
|
Thickness of ZAZ, $T_{ZAZ}$
|
9.4 nm
|
Top critical dimension, $CD_{TOP}$
|
40 nm
|
Bottom critical dimension, $CD_{BOT}$
|
25 nm - 40 nm
|
III. SIMULATION RESULTS AND DISCUSSION
Fig. 5 shows the $I_{leak}$ and $C_{s}$ with various $CD_{BOT}$ / $CD_{TOP}$’s normalized
by $I_{leak}$ ($I_{0}$) and $C_{s}$ ($C_{0}$) with $CD_{BOT}$ / $CD_{TOP}$ = 1, respectively.
$I_{leak}$ is measured when top electrode voltage ($V_{TOP}$) is 2.0 V. It is observed
that $C_{s}$ / $C_{0}$ decreases linearly while $I_{leak}$ / $I_{0}$ increases nonlinearly
as $CD_{BOT}$ / $CD_{TOP}$ decreases. For the analysis of this phenomenon, Fig. 6 shows the electric field ($E$) profiles of the storage capacitors in the ideal and
real cases when $V_{TOP}$ is fixed at 2.0 V. The maximum $E$ is found at the corner
edges corresponding the dominant $I_{leak}$ paths. Also, it is clearly observed that
the maximum E increases as $CD_{BOT}$ / $CD_{TOP}$ decreases. It makes the upper electrode
sharper, which increases maximum $E$ [13]. Thus, as $CD_{BOT}$ / $CD_{TOP}$ decreases, the surface charge density increases
at the sharpened region of the top electrode, and E increases accordingly.
Fig. 5. $I_{leak}$ (measured at $V_{TOP}$ = 2.0 V) and $C_{s}$ normalized by $I_{0}$
and $C_{0}$.
Fig. 6. $E$ contours of storage capacitors whose (a) $CD_{BOT}$ / $CD_{TOP}$ = 1,
(b) $CD_{BOT}$ / $CD_{TOP}$ = 0.625, following the A-A’ cross-sections in Figs. 1a
and 1b, respectively. Enlarged views of (c) Fig. 6(a) and (d) 6(b). The arrows mean the vector representation of $E$. $V_{TOP}$ is fixed
at 2 V.
Finally, we extracted the average and maximum $E$ with the variation of $CD_{BOT}$
/ $CD_{TOP}$ and calculated $A_{eff}$ as the interface surface area of the bottom
electrode and the dielectric layer which represents a smaller area than the top electrode
side as shown in Fig. 7. The average $E$ is calculated as the average of the electric field for all points
in the dielectric layer to compare the effect with the local maximum $E$. $E_{0}$
means the $E$ extracted at $V_{TOP}$ = 2.0 V when $CD_{BOT}$ / $CD_{TOP}$ is 1. $A_{0}$
means the $A_{eff}$ when $CD_{BOT}$ / $CD_{TOP}$ is 1. As expected, the $I_{leak}$
shown in Fig. 5 does not correspond to the average $E$ but match well with the maximum $E$. Following
the charge transport models used in this simulation such as PFE and TAT, $I_{leak}$
is exponentially proportional to $E$, which means that $I_{leak}$ is determined mainly
by maximum $E$ rather than average $E$.[8-10]. On the other hand, the dependence of $C_{s}$ on $CD_{BOT}$ / $CD_{TOP}$ is explained
by the $A_{eff}$ which is linearly proportional to $C_{s}$.
Fig. 7. $E$ and $A_{eff}$ normalized by $E_{0}$ and $A_{0}$, respectively. $V_{TOP}$
is fixed at 2.0 V.
IV. CONCLUSIONS
The influence of the etch profiles of a 3-D DRAM storage capacitor on $I_{leak}$ and
$C_{s}$ has been investigated by using full 3-D TCAD simulation. As $CD_{BOT}$ / $CD_{TOP}$
decreases, $I_{leak}$ increases exponentially while $C_{s}$ decreases linearly. Thus,
the etch profiles of a storage capacitor should be made as steep as possible for the
optimization of state-of-art HAR storage capacitor in terms of both $I_{leak}$ and
$C_{s}$.
ACKNOWLEDGMENTS
This work was supported in part by the NRF of Korea funded by the MSIT under Grant
NRF-2018R1A2 A2A05019651 (Mid-Career Researcher Program), NRF-2015M3A7B7046617 (Fundamental
Technology Program), NRF-2016M3A7B4909668 (Nano-Material Technology Development Program),
in part by the IITP funded by the MSIT under Grant IITP-2018-0-01421 (Information
Technology Research Center Program), and in part by the MOTIE/KSRC under Grant 10080575
(Future Semiconductor Device Technology Development Program) and in part by the IDEC
of KAIST.
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Author
received the B.S. degree in the Department of Physics from Dongguk University, Seoul,
Korea, in 2017.
He is currently working toward the M.S. degree in the Department of Electronic Engi-neering,
Sogang University, Seoul, Korea.
His current research interest include dynamic random access memory (DRAM) and nanoscale
novel devices.
received the B.S., and M.S. degrees in the Department of Electronic Engineering from
Sogang University, Seoul, Korea in 1981 and 1984, respectively.
In 1984, He joined the memory development group, LG Semiconductor, where he worked
on product engineering for EPROM, SRAM and DRAM.
From 2000 to 2009, he was an executive manager of R & D division, Hynix Semiconductor,
where he was responsible for DRAM and CIS development.
He is currently a director of semiconductor group, Sogang Institute of advanced technology,
Sogang University.
He has authored or coauthored over 10 papers.
He is the holder of 20 Korean patents and 4 international patents.
His current research interests include the reliability of semiconductor memory.
was born in Incheon, Korea, in 1978. He received the B.S., M.S. and Ph.D. degrees
in the School of Electrical Engineering from Seoul National University, Seoul, Korea
in 2000, 2002 and 2006, respectively.
From 2006 to 2008, he was with the Department of Electrical Engineering and Computer
Sciences, University of California, Berkeley, USA as a post-doctor.
Since 2008, he has been a member of the faculty of Sogang University (Seoul, Korea),
where he is currently a Professor with the Department of Electronic Engineering.
His current research interests include fabrication, modeling, characterization and
measurement of CMOS/novel semiconductor devices and memory.