journal article·2025-06-10

Exploration of Nonvolatile Memory and Synaptic Learning of a Metal–Organic Framework (ZIF-67) and 2D Material (MoS2) Composite Memristor

Indumathi Elango, Dhananjay D Kumbhar, Yash. V Ambole, Mohammedali Abdullah, Amitkumar R. Patil, Muthamizh Selvamani, Tukaram D. Dongale, Tae Geun Kim, Arul Varman Kesavan

ACS Applied Electronic Materials· Volume 7· Issue 11
Publisher page

Abstract

Nanocomposites incorporating zeolitic imidazolate framework-67 (ZIF-67) and molybdenum disulfide (MoS 2 ) are highly promising for next-generation electronics, offering unique properties that are crucial for sustainable development. In particular, the use of composite-based memristors to emulate artificial synapses, termed neuromorphic memristors, has greatly propelled the advancement of bioinspired electronics. In this study, we demonstrate the nonvolatile memory and synaptic learning properties of the ZIF-67–MoS 2 nanocomposite memristor device. The synthesized ZIF-67, MoS 2, and ZIF-67–MoS 2 composites were characterized by various analytical tools. The fabricated Ag/ZIF-67–MoS 2 /FTO device exhibits outstanding bipolar resistive switching behavior, enabling artificial biosynaptic emulation with continuous resistance modulation. The device demonstrates excellent cyclic reproducibility and reliability, with stable retention behaviors observed for up to 50,000 s. This device exhibits a unique switching property, which leads to bioinspired long-term potentiation and depression (LTP and LTD), making it suitable for nonvolatile digital memory and neuromorphic computing applications alike. The synaptic functionality of the memristor was assessed using a spiking neural network (SNN) for MNIST handwritten digit recognition, achieving an accuracy of 86.26%. This underscores the potential of the ZIF-67–MoS 2 nanocomposite as a potential material in the development of high-performance neuromorphic computing systems.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Machine Learning and ELM · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

HEAD Laboratory Department of Physics & Nanotechnology

SRM Institute of Science and Technology

School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology

Shivaji University

Department of Physics

Functional Materials and Materials Chemistry Laboratory, Department of Physiology, Saveetha Dental College & Hospitals, Saveetha Institute of Medical & Technical Sciences

Saveetha University

Funding

Department of Science and Technology, Ministry of Science and Technology · National Research Foundation of Korea (NRF) grant funded by the Korean Government

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