Conduction mechanisms and thermally assisted multilevel switching in MOCVD-grown MoS2 resistive random-access memory devices
Abstract
Nonvolatile resistive random-access memory based on memristive switching has emerged as promising technology for next-generation computing and artificial intelligence hardware. Two-dimensional (2D) materials offer unique advantages due to their layered structure, uniform thickness, and defect-tunable properties, making them strong candidates for high-performance memory devices. Metalorganic chemical vapor deposition (MOCVD) provides large-area, wafer-compatible growth of 2D materials, offering a scalable path beyond small, exfoliated flakes. Here, we report multilevel resistive switching in MOCVD-grown multilayer MoS2 memory devices. The devices employ a metal–insulator–metal (MIM) configuration, where an 8 nm-thick MoS2 film is sandwiched between Ti top and Au bottom electrodes. Stable intermediate resistance states are obtained through controlled partial modulation of the conductive pathway during the RESET process. Temperature-dependent DC sweeps are used to analyze the underlying conduction mechanism. In addition, RF transient pulse measurements capture the nanosecond dynamics of the RESET transition and shed light on the mechanism of dissolution of the conductive filament. Statistical cycle-to-cycle analysis further confirms the reproducibility and uniformity of the multilevel switching behavior. These results highlight the promise of MOCVD-grown MoS2 as a platform for high-density multilevel memory storage applications.
Article Details
Journal Info
Journal of Applied Physics
American Institute of Physics
Authors (9)
Siyu Wu
Pranav Rama
Department of Electrical and Computer Engineering, The University of Texas at Austin 1 , Austin, Texas 78712,
Luke Sloan
Microelectronics Research Center, The University of Texas at Austin , Austin, Texas 78758,
Johnny Shen
Department of Electrical and Computer Engineering, The University of Texas at Austin 1 , Austin, Texas 78712,
Jatin V. Singh
Department of Electrical and Computer Engineering, The University of Texas at Austin 1 , Austin, Texas 78712,
Keunhwi Cho
Semiconductor R&D Center, Samsung Electronics Co., Ltd. 2 , Hwaseong, Gyeonggi 18448,
Jaehyun Ahn
Dong-Won Kim
Sanjay K. Banerjee