Abstract
This work presents an investigation of the memristive properties of anodically formed Ti–Hf mixed oxide fabricated from a simultaneously sputtered Ti–Hf combinatorial alloy library spanning 15–90 at.% Hf. The specimens exhibit electroforming-free, volatile, analog switching with strong self-rectification and compositional tunability. Electrical characterization revealed a systematic increase in the SET voltages and a corresponding decrease in the RESET voltages with increasing Hf content. Three distinct compositional regions were identified: Zone 1 (15–30 at.% Hf) showing excellent endurance (≥106 cycles) and moderate ON/OFF ratios, Zone 2 (30–50 at.% Hf) with high multilevel switching capabilities but poor endurance and stability, and Zone 3 (50–90 at.% Hf) with enhanced ON/OFF ratios and stable switching thresholds. Current conduction analysis confirmed Schottky emission in both high and low resistive states, in agreement with the interfacial switching characteristics revealed by the electrical performance of the devices. These results, supported by detailed structural and chemical characterization via high-resolution transmission electron microscopy techniques and X-ray photoelectron spectroscopy, demonstrate the prominent potential of using anodic Ti–Hf oxides for stable, tunable, and filament-free memristive devices with applications in analog switching for neuromorphic computing.
| Original language | English |
|---|---|
| Journal | The Journal of Physical Chemistry C |
| DOIs | |
| Publication status | Published - 2025 |
Fields of science
- 204001 Inorganic chemical technology
- 211104 Metallurgy
- 104006 Solid state chemistry
- 104014 Surface chemistry
- 104005 Electrochemistry
- 210006 Nanotechnology
- 105116 Mineralogy
- 205016 Materials testing
- 204 Chemical Process Engineering
- 104017 Physical chemistry
- 105113 Crystallography
- 503013 Subject didactics of natural sciences
- 103021 Optics
- 103 Physics, Astronomy
- 103020 Surface physics
JKU Focus areas
- Sustainable Development: Responsible Technologies and Management
- Digital Transformation