Effect of Top Electrode Work Function on Switching and Synaptic Characteristics of
HfO2/ZnO-based Memristive Device
Yu-Bin Kim1
Sung-Ho Kim1
Dong-Min Kim1
Chae-Min Yeom1
Shivam Kumar Gautam1
Yong-Goo Kim2
Hyuk-Min Kwon3
Hi-Deok Lee1
-
(Chungnam National University, Republic of Korea)
-
(Department of Green Semiconductor System, Korea Polytechnics Daegu Campus 15, Gukchaebosang-ro
43-gil, Seo-gu, Daegu, Republic of Korea)
-
(School of Electronic & Electrical Engineering and Research Center for Hyper-Connected
Convergence Technology, Hankyong National University, 327 Jungang-ro, Anseong-si,
Gyeonggi-do, Republic of Korea)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
Memristive device, HfO2/ZnO, work function, resistive switching, synaptic device conduction mechanism, long term potentiation, long-term depression
I. INTRODUCTION
Rapid development of artificial intelligence (AI) and data-intensive applications
have breached the limitations of von Neumann architecture, where separate memory and
processing units cause latency and high energy consumption [1-
4]. Neuromorphic computing, inspired by biological neural networks, integrates storage
and computation in a single element to enable low-power parallel processing [5-
7].
Among emerging memories, resistive random-access memory (RRAM) is promising due to
its simple metal-insulator-metal (MIM) structure, fast switching, non-volatility,
and CMOS compatibility [8-
11]. RRAM can emulate synaptic plasticity through gradual conductance modulation, and
multi-layer oxide stacks improve switching uniformity and analog tuneability [12-
15]. In particular, HfO2/ZnO bi-layer devices show stable switching and reliable weight modulation: HfO2 provides dielectric stability, while ZnO supports filament formation [16-
19]. Beyond the switching layers, electrode materials influence device behavior by affecting
switching thresholds and conduction mechanisms [20]. Properties such as work function and Gibbs free energy of oxide formation impact
filament dynamics [4,
7,
14]. A larger work function difference between TE and BE enhances the internal electric
field, reducing forming and set voltages, while a low Gibbs free energy promotes oxygen
ion migration and endurance [15,
17,
19]. In this work, we investigated HfO2/ZnO based devices with four TE materials: Pd, Ti, TiN, and Ti/Au, and analyzed switching
voltages, conduction mechanisms, and LTP/LTD behavior. The results provide guidelines
for optimizing electrode selection for reliable neuromorphic systems [1,
5,
19,
20]. Previous studies have investigated top-electrode effects on resistive switching,
but they typically compare only a few metals and focus mainly on forming and SET voltage
differences without explicitly linking these trends to material-dependent properties,
such as trap levels or electrode-dependent filament stability [21,
22]. In contrast, this work evaluates four electrodes within the same HfO2/ZnO structure and correlates their forming, SET, and synaptic behavior with both
work-function differences and the Gibbs free energy of oxide formation, offering a
more comprehensive material-driven understanding of electrode effects.
II. DEVICE FABRICATION
The memristive devices were fabricated on thermally oxidized silicon substrates (Si/SiO2) according to the structure depicted in Fig. 1. The substrates were cleaned with dilute hydrofluoric acid to remove native oxide
before the deposition of Ti/Pt (10/100 nm) bottom electrode. The HfO2 and ZnO insulating layers were sequentially deposited with atomic layer deposition,
which provides precise control of film thickness and uniformity. Thickness of the
ZnO and HfO2 layers was fixed at 15 and 3 nm, respectively. These bi-layered structures served
as the active switching medium.
Fig. 1. Schematic structure of the fabricated HfO2/ZnO-based memristive device.
TE consisting of Pd, Ti, and TiN were deposited by radio-frequency sputtering, while
the Ti/Au (10 nm/100 nm) electrode was deposited using e-beam evaporation. The Ti
and Au layers were sequentially stacked to form the Ti/Au bi-layer electrode. A standard
lift-off process was used to define the crossbar structures of the top electrodes.
The final device had a MIM structure with a cell area of 20 µm × 20 µm, which is suitable
to evaluate resistive switching and synaptic characteristics.
III. RESULTS AND DISCUSSION
1. Electrical Characterization
DC electrical measurements were performed using an Agilent 4156C semiconductor parameter
analyzer with a voltage sweep applied to the TE keeping the BE grounded. Unless otherwise
stated, all of the measurements were conducted at room temperature. The SET and RESET
compliance currents were fixed at 1 mA and 100 mA, respectively, and all devices were
evaluated at the 50th cycle while repeating voltage sweeps (step: 0.05 V) until hard
breakdown occurred. Table 1 summarizes the work function values of each TE material, including the effective
work function of the Ti/Au (10 nm/100 nm) bi-layer electrode, and their differences
with the BE. To further assess switching stability, cycle-to-cycle (C2C) and device-to-device
(D2D) variations were statistically analyzed, as shown in Fig. 2.
Table 1. Work function values of BE and TE materials and their differences.
|
Sample
|
BE material
|
BE work function [eV]
|
TE material
|
TE work function [eV]
|
Work function difference [eV]
|
|
#1
|
Pt
|
5.12 [21]
|
Pd
|
5.60 [22]
|
0.48
|
|
#2
|
Pt
|
5.12
|
Ti
|
4.33 [23]
|
0.79
|
|
#3
|
Pt
|
5.12
|
TiN
|
4.70 [24]
|
0.42
|
|
#4
|
Pt
|
5.12
|
Ti/Au
|
5.10 [25]
|
0.02
|
Fig. 2. (a) C2C variation of HRS and LRS over 50 cycles for four TE devices. (b) D2D
variation of SET voltage extracted from 20 devices per TE.
Fig. 3 shows the forming and SET voltages as a function of the work function difference
for all TE materials (Pd, Ti, TiN, and Ti/Au). Devices with a larger difference exhibit
lower forming and SET voltages, while those with a smaller difference require higher
voltages. For instance, the Ti-based device, with the largest difference, showed the
lowest potential for forming (3.19 V) and SET (1.42 V), whereas the Ti/Au-based device
exhibits the highest values. This behavior arises from the enhanced internal electric
field of a larger work function difference, which promotes filament formation and
stabilizes subsequent switching events, thereby contributing to more reliable device
operation.
Fig. 3. Forming and SET voltages of devices with different TE materials (Pd, Ti, TiN,
Ti/Au) and their work function differences.
2. Conduction Mechanism Analysis
Although the TE materials differ, the insulating layers remain identical across all
of the devices, suggesting no major variation in switching mechanisms. As Shown in
Fig. 4, all devices exhibited Ohmic conduction in the low-voltage region and space-charge-limited
conduction (SCLC) at higher voltages. This consistency shows that the work function
difference affects the switching voltage rather than the conduction mechanism.
Fig. 4. (a)-(d) I-V characteristics of HfO2/ZnO devices employing Pd, Ti, TiN, and Ti/Au electrodes, showing switching behavior
variations depending on the top metal. (e)-(h) Corresponding SCLC fitting results
for devices with Pd, Ti, TiN, and Ti/Au.
The Gibbs free energy of oxide formation represents the thermodynamic driving force
for interfacial oxidation, where a more negative value indicates a higher tendency
for spontaneous and stable oxide formation. This interfacial energetics directly influences
ion transport behavior in oxide-based devices. Ti, with a low formation energy for
TiO2 ($\Delta G^\circ_f \approx -888.8$ kJ/mol) [26], enables partial control of oxygen ion migration, suppressing complete filament rupture
and leading to a gradual reset transition. This moderated process reduces power dissipation,
alleviates stress concentration, and prevents local overheating, as illustrated in
Fig. 5. Reported Gibbs free-energy data show that PdO forms near −100 kJ/mol, while gold
oxides have positive values and remain unstable under common conditions [29,
30]. TiN also requires higher energies than Ti to form TiON or TiO2
[31]. These values indicate weaker interfacial oxide formation for Pd, TiN, and Au, leading
to less uniform vacancy redistribution and supporting the smoother RESET and stronger
retention of Ti-based devices.
Fig. 5. Schematic diagram of oxygen ion/vacancy migration in Ti TE devices during
(a) SET and (b) RESET processes based on Gibbs free energy [32-
34].
Fig. 6 shows the different reliability behaviors between Ti and Ti/Au TE devices. The Ti
TE device Fig. 6(a) maintains high resistance state (HRS) values under prolonged stress, demonstrating
stable retention without abrupt resistance collapse.
Fig. 6. Retention characteristics under stress voltage for devices with (a) Ti TE
and (b) Ti/Au TE, showing stable operation for Ti and abrupt failure for Ti/Au.
In contrast, the Ti/Au TE device Fig. 6(b) exhibits sudden failure under elevated stress voltages, as indicated by the sharp
resistance drop labeled as “failure.” Specifically, failures were observed after approximately
1400 s at Vstress = −1.2 V and after 200 s at Vstress = −1.5 V, confirming the vulnerability of Ti/Au electrodes under high-field stress.
In this work, “failure” refers to the abrupt transition from the HRS to the LRS state
upon reaching the compliance current during constant voltage stress, indicating uncontrolled
filament overgrowth rather than gradual resistance evolution. This discrepancy underscores
that the lower Gibbs free energy of Ti facilitates controlled migration of oxygen
vacancies, thereby suppressing catastrophic filament rupture and enabling gradual
resistance modulation, whereas electrode systems with higher Gibbs free energy, such
as Ti/Au, are more prone to abrupt breakdown.
3. Synaptic Characteristics
To evaluate synaptic performance, LTP and LTD measurements were performed by applying
100 consecutive pulses in sequence, as shown in Fig. 7. Both devices were tested using identical pulse schemes consisting of 100 potentiation
(LTP) and 100 depression (LTD) pulses with a fixed pulse width of 800 µs. The pulse
amplitudes were set to 2.0 V and 2.2 V for the two devices, respectively, and the
read voltage was fixed at 0.2 V. All devices exhibited analog conductance modulation,
demonstrating stable synaptic switching behavior and acceptable nonlinearity, which
is essential for neuromorphic system implementation.
The nonlinearity (NL) was calculated using Eq. (1), where G denotes the normalized conductance and GLinear is the ideal linear conductance, as defined in [35].
The nonlinearity was calculated using the same normalization range and averaging procedure
for all devices to ensure a fair comparison.
In particular, the Ti-based device (Fig. 7(a)) exhibited the most gradual and symmetric conductance changes during potentiation
and depression. This behavior can be attributed to the controlled migration of oxygen
vacancies enabled by the low Gibbs free energy of Ti TE and the moderate work function,
which together suppress abrupt filament dissolution and allow fine-tuned weight updates.
Consistently, the extracted NL value of the Ti device was 0.51, close to the ideal
case, indicating its suitability for stable synaptic weight updates.
Fig. 7. LTP/LTD characteristics under spike stimuli for (a) Ti TE device, (b) Ti/Au
TE device, and (c) normalized conductance with extracted NL values.
In contrast, the Ti/Au-based device in Fig. 7(b) showed less gradual modulation with higher NL values (0.90 for potentiation and 0.56
for depression), reflecting the weaker influence of its higher Gibbs free energy.
Such quantitative differences highlight that Ti electrodes enable more linear conductance
modulation compared to Ti/Au, which is highly desirable for reliable learning behavior
in neuromorphic applications.
These results, summarized in Fig. 7, confirm that the choice of top electrode material significantly affects both the
resistive switching characteristics and the synaptic plasticity of HfO2/ZnO-based memristive devices.
IV. CONCLUSIONS
In this study, we investigated the effect of TE materials on the switching behavior
and synaptic performance of HfO2/ZnO-based memristive devices. All of the devices share same insulator structure,
leading to a consistent switching mechanism–Ohmic conduction in the low-voltage regime
and SCLC in the high-voltage regime.
Nevertheless, the TE work function and Gibbs free energy significantly influenced
device performance. Devices with a larger work function difference exhibited lower
forming and SET voltages. In particular, the Ti TE device, with its low Gibbs free
energy, demonstrated a gradual reset process by controlling oxygen ion migration and
preventing abrupt filament rupture. This thermal moderation also contributed to enhanced
retention performance, with no failure observed under increased stress conditions.
Furthermore, the Ti TE device exhibited the most desirable synaptic behavior, showing
gradual and symmetric conductance modulation under LTP/LTD pulse sequences. These
results confirm that the selection of TE material is critical not only for resistive
switching characteristics but also for achieving reliable and analog synaptic functionality
in neuromorphic systems.
ACKNOWLEDGMENTS
This research was supported by Basic Science Research Program through the National
Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2023-00249430,
NRF 2022R1G1A10089 54A), and National Nano Fab Center (NNFC) grant funded by the Korea
government (MSIT) (RS-2024-00441236). This work was also supported by the Korea Foundation
for Women In Science, Engineering and Technology (WISET) grant, funded by the Ministry
of Science and ICT (MSIT) under the Team Research Program for female engineering students.
This work was supported by BK21 FOUR Program by Chungnam National University Research
Grant, 2025. This research was supported by the Regional Innovation System & Education
(RISE) program through the Daejeon RISE Center, funded by the Ministry of Education
(MOE) and the Daejeon Metropolitan City, Republic of Korea.(No. 2025-RISE-06-012).
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Yu-Bin Kim received her B.S. degree in electronic engineering from Chungnam National
University, Daejeon, Korea, in 2025. She is currently pursuing an M.S. degree at the
same university. Her research interests include RRAM-based neuromorphic devices, multi-layer
memory structures, and device reliability.
Sung-Ho Kim received his B.S. degree in electronic engineering from Chungnam National
University, Daejeon, Korea, in 2025. He is currently pursuing an M.S. degree at the
same university. His research interests include RRAM-based neuromorphic devices, multi-layer
memory structures, and device reliability.
Dong-Min Kim received his B.S. degree in electronic engineering from Chungnam National
University, Daejeon, Korea, in 2025. He is currently pursuing an M.S. degree at the
same university. His research interests include RRAM-based neuromorphic devices, multi-layer
memory structures, and device reliability.
Chae-Min Yeom received his B.S. and M.S. degrees in electronic engineering from Chungnam
National University, Daejeon, Korea, in 2025. He is currently with DB HiTek, Eumseong,
Korea, where he is involved in research on CMOS image sensor (CIS) technology. His
research interests include semiconductor device design, CMOS image sensors, and circuit-device
interaction.
Shivam Kumar Gautam received his B.Tech. degree from Bundelkhand Institute of Engineering
Technology, Jhansi, India in 2014, an M.Tech. degree from Indian Institute of Technology
(IIT) BHU, Varanasi, UP, India in 2016, and a Ph.D. degree from IIT Kanpur, India
in 2023, all in Chemical Engineering. He was also associated with the SAMTEL Centre
for Display Technologies at IIT Kanpur. From December 2023, he is a BK21 postdoctoral
fellow at the department of Electronics Engineering at Chungnam National University,
South Korea. He has been appointed as a contract professor at the same department
at Chungnam National University in December 2024. His research interests include hybrid
material based chemical and physical sensors for healthcare and environmental applications,
2D nanomaterial-based devices, and neuromorphic synaptic devices with silicon and
flexible platforms.
Yong-Goo Kim received his B.S. degree in electrical and electronic engineering from
Hongik University, Seoul, Korea, in 2002, and an M.S. degree in electronic engineering
from Chungnam National University, Daejeon, Korea, in 2004. He completed a Ph.D. coursework
in electronic engineering at Chungnam National University in 2008. He has held research
positions at MagnaChip Semiconductor, the Electronics and Telecommunications Research
Institute (ETRI), and LX Semicon, where he served as a Principal Engineer and Team
Leader. Since 2022, he has been with the Department of Green Semiconductor System,
Korea Polytechnic University, where he is currently a Professor. His research interests
include low-power semiconductor design, emerging semiconductor devices, and semiconductor
TEG/WLR.
Hyuk-Min Kwon received his B.S., M.S., and Ph.D. degrees from Chungnam National University,
Daejeon, Korea, in 2007, 2009, and 2014, respectively, all in electronics engineering.
He worked on non-Si and beyond structure development at SEMATECH, Austin, TX, USA,
in 2013, and at Korea Advanced Nano Fab Center(KANC) in 2014. He worked for SK Hynix
from 2014-2020 and for Korea Polytechnics College from 2020-2024. He joined the school
of electronic and electrical engineering, Hankyong National University in 2024. His
current research focuses on the development of new emerging memory and computing devices,
as well as extreme low-power device technology. This includes innovative devices and
their applications in integrated systems, such as edge computing and neuromorphic
computing, as well as conventional technologies such as advanced gate stack technology
and other high-performance logic device technologies.
Hi-Deok Lee received his B.S., M.S., and Ph.D. degrees in electrical engineering from
the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in
1990, 1992, and 1996, respectively. In 1993, he joined LG Semicon Company, Ltd. (currently
SK hynix Semiconductor Ltd.), Cheongju, Korea, where he was involved in the development
of 0.35 µm, 0.25 µm, and 0.18 µm CMOS technologies and was also responsible for the
development of 0.15 µm and 0.13 µm CMOS technologies. Since 2001, he has been with
the Department of Electronics Engineering, Chungnam National University, Daejeon,
Korea. From 2006 to 2008, he was a Visiting Scholar with the University of Texas at
Austin and SEMATECH, Austin. His research interests include nanoscale CMOS technology
and its reliability physics, silicide technology, Test Element Group (TEG) design,
high-performance analog and high-voltage MOSFETs, 2D nanomaterial-based devices, and
neuromorphic devices.