Controlling Electrochemical Metallization in Low-Temperature Microwave-Grown MoS2 RRAM through Ultrathin MoO3 Interfacial Engineering
Abstract Resistive random-access memory (RRAM) has attracted significant attention as a next-generation nonvolatile memory technology owing to its simple structure, fast switching speed, and compatibility with back-end-of-line (BEOL) integration. Among emerging switching media, two-dimensional molybdenum disulfide (MoS2) offers unique advantages arising from its atomically thin structure and interface-dominated transport characteristics. However, the integration of MoS2-based memory devices is often limited by the high synthesis temperatures required for conventional growth methods. Here, we demonstrate MoS2-based RRAM devices employing directly grown MoS2 films synthesized by microwave plasma-enhanced sulfurization at a process temperature below 400 °C without transfer processes. The switching behavior was found to strongly depend on the top electrode material. Inert Au electrodes exhibited vacancy-mediated resistive switching with stable retention but limited endurance, whereas active Ag and Cu electrodes showed electrochemical metallization (ECM)-type behavior associated with metal ion migration and conductive filament formation. To improve switching stability, an ultrathin 1 nm MoO3 interlayer was introduced between Ag and MoS2 to regulate Ag migration while preserving the ECM switching mechanism. The optimized Ag/MoO3 (1 nm)/MoS2/Au device exhibited stable SET/RESET voltages of approximately 0.6/–1.9 V, retention exceeding 104 s, and endurance approaching 103 cycles (∼950 cycles). Depth-resolved X-ray photoelectron spectroscopy further confirmed the reversible redistribution of Ag species during switching, supporting a filamentary ECM mechanism. This work demonstrates a practical low-temperature approach for improving the reliability of MoS2-based RRAM devices through interfacial ion-transport control, providing a BEOL-compatible pathway toward scalable resistive memory integration.
Authors
- Chih‐I Wu (ORCID: https://orcid.org/0000-0003-3613-7511)
- Jin-Bin Yang
- I‐Chih Ni
- Mei‐Hsin Chen (ORCID: https://orcid.org/0000-0003-4120-7991)
- Zhiyang Huang
- Yu-Ting Huang
Institutions
- National Taipei University of Technology (TW)
- National Taiwan University (TW)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- ACS Applied Electronic Materials
- Published
- 2026-09-10
- DOI
- https://doi.org/10.1021/acsaelm.6c00940
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00