TY - JOUR
T1 - Ultralow Powered 2D MoS2-Based Memristive Crossbar Array for Synaptic Applications
AU - Yadav, Saurabh
AU - Patel, Chandrabhan
AU - Rajbhar, Manoj Kumar
AU - Dubey, Mayank
AU - Kumbhar, Dhananjay D.
AU - Dongale, Tukaram Dattatray
AU - Khandelwal, Vishal
AU - Yuvaraja, Saravanan
AU - Li, Xiaohang
AU - Mukherjee, Shaibal
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/5/7
Y1 - 2025/5/7
N2 - Two-dimensional materials are increasingly integral to beyond-CMOS electronics, facilitating the development of emerging memristive device technology for information storage and neuromorphic computing. Despite their emergence, some critical challenges including low device yield, substantial device-to-device (D2D), and cycle-to-cycle (C2C) variability factors hinder the development of high-density memristive devices for future low-power electronic applications. Here, we demonstrate a memristive crossbar array (MCA) in which multilayer 2D MoS2 acts as a resistive switching layer that offers lower switching voltages with a few microseconds pulse width. Additionally, the use of 2D MoS2 further excels in integration density and energy efficiency, which significantly helps to achieve a device yield of 94%. Moreover, the 2D MoS2 controlled growth process ensures the uniformity of MoS2 layers across a (10 × 10) crossbar array that enhances the stability of fabricated MCA’s having minimal variability in device switching voltages (VSET: 4.16% and VRESET: 3.60%). The fabricated devices show excellent endurance (∼24,000 cycles) and retention (1.6 × 106 s). Furthermore, due to lower switching voltages and fast switching speed, the fabricated devices consume 53 pW power and 53 aJ energy, making them more energy-efficient and achieving an impressive 97.79% accuracy in MNIST digit recognition through synaptic behavior simulation.
AB - Two-dimensional materials are increasingly integral to beyond-CMOS electronics, facilitating the development of emerging memristive device technology for information storage and neuromorphic computing. Despite their emergence, some critical challenges including low device yield, substantial device-to-device (D2D), and cycle-to-cycle (C2C) variability factors hinder the development of high-density memristive devices for future low-power electronic applications. Here, we demonstrate a memristive crossbar array (MCA) in which multilayer 2D MoS2 acts as a resistive switching layer that offers lower switching voltages with a few microseconds pulse width. Additionally, the use of 2D MoS2 further excels in integration density and energy efficiency, which significantly helps to achieve a device yield of 94%. Moreover, the 2D MoS2 controlled growth process ensures the uniformity of MoS2 layers across a (10 × 10) crossbar array that enhances the stability of fabricated MCA’s having minimal variability in device switching voltages (VSET: 4.16% and VRESET: 3.60%). The fabricated devices show excellent endurance (∼24,000 cycles) and retention (1.6 × 106 s). Furthermore, due to lower switching voltages and fast switching speed, the fabricated devices consume 53 pW power and 53 aJ energy, making them more energy-efficient and achieving an impressive 97.79% accuracy in MNIST digit recognition through synaptic behavior simulation.
KW - artificial synapses
KW - crossbar array
KW - low power
KW - MoS
KW - reproducibility
UR - http://www.scopus.com/inward/record.url?scp=105003935236&partnerID=8YFLogxK
U2 - 10.1021/acsami.5c00688
DO - 10.1021/acsami.5c00688
M3 - Article
C2 - 40296213
AN - SCOPUS:105003935236
SN - 1944-8244
VL - 17
SP - 26871
EP - 26880
JO - ACS Applied Materials and Interfaces
JF - ACS Applied Materials and Interfaces
IS - 18
ER -