All-Oxide ITO/HZO/WO x Ferroelectric Tunnel Junctions with Oxygen-Engineered Interfaces for Highly Endurable Neuromorphic Computing
Source abstract
Abstract
Ferroelectric tunnel junctions (FTJs) are promising synaptic devices for neuromorphic computing owing to their compact two-terminal structure and ability to support multilevel conductance modulation. However, many FTJ synapses rely on complex multilayer stacks or additional insertion layers to stabilize interfacial transport, increasing device complexity and limiting scalability. Here, we demonstrate a structurally simple metal–ferroelectric–metal (MFM) FTJ based on an ITO/Hf 0 . 5 Zr 0 . 5 O 2 /WO x stack in which the interface and electrode properties are deliberately engineered to achieve stable switching without additional layers. By tuning the oxygen stoichiometry of the WO x bottom electrode, a controlled trap-rich interfacial region is formed that enables polarization-modulated trap-assisted tunneling. In addition, the use of an ITO top electrode redistributes the electric field across the junction, improving programming reliability and breakdown tolerance. As a result, the optimized FTJ exhibits a resistance ratio of ∼100, switching endurance exceeding 10 8 cycles, and 64 well-resolved conductance states. The device further demonstrates stable spike-dependent plasticity and reliable analog weight modulation suitable for neuromorphic operation. Neural-network simulations based on experimentally extracted conductance characteristics achieve 91.5% accuracy on the MNIST data set, highlighting the potential of simple MFM FTJ synapses for scalable neuromorphic and in-memory computing hardware.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ferroelectric and Negative Capacitance Devices · Advanced Memory and Neural Computing · 2D Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical Engineering
Korea University
Department of Electrical and Computer Engineering
Sungkyunkwan University
Semiconductor R&D Center
Samsung Electronics
Funding
National Research Foundation of Korea · Ministry of Trade, Industry and Energy
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