Congratulations to our colleague MS Student. Le Phi Truong, for his recent publication entitled "State-dependent capacitance property and synaptic behavior of memcapacitor based on WS2 nanosheets" in the journal "Journal of Physics and Chemistry of Solids", which was a collaboration with our colleagues in the Microsystem Laboratory, School of Engineering, EPFL, Switzerland.
The limitations of traditional CMOS technology and the von Neumann architecture have driven the exploration of neuromorphic systems, which emulate biological synapses for energy-efficient and fault-tolerant computing. With their simple structure, non-volatile resistive switching, and tunable synaptic weight modulation, memristors are promising components for such systems. Among candidate materials, transition-metal dichalcogenides (TMDs), particularly tungsten disulfide (WS2), stand out due to their high carrier mobility, strong light-matter interactions, and stability. Recent studies on WS2-based devices have demonstrated enhanced neuromorphic functionality, though primarily in three-terminal configurations and composite materials. This work investigates a planar Cr/WS2/Cr memristive device featuring a WS2 thin layer prepared by a top-down method. Material characterization revealed a single orientation along the z-axis, contributing to excellent self-rectifying analog switching over 1000 cycles and retention time over 104 s. The device exhibits non-volatile and accumulative properties, enabling synaptic weight modulation under ±3V sweeping and 1 ms–100 ms pulse width signals. Additionally, a triangular waveform revealed nonlinear capacitor behavior under saturation conditions, consistent with memcapacitor functionality. Furthermore, the identification of sulfur vacancies as active sites and their reorganization under the applied field clarifies the microscopic switching mechanism, directly linking defect dynamics to the observed memcapacitive behavior. This work provides fundamental insights into state-dependent capacitance and paves the way for designing and implementing next-generation memristive synaptic devices using 2D materials.
For more details, please visit:
Acknowledgment
This research was supported by the Vietnam National University - Ho Chi Minh (VNU-HCM), Ho Chi Minh City, Vietnam under grant number NCM2024-50-01.
Post a Comment