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Customized binary and multi-level HfO(2−x)-based memristors tuned by oxidation conditions
The memristor is a promising candidate for the next generation non-volatile memory, especially based on HfO(2−x), given its compatibility with advanced CMOS technologies. Although various resistive transitions were reported independently, customized binary and multi-level memristors in unified HfO(2...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577168/ https://www.ncbi.nlm.nih.gov/pubmed/28855562 http://dx.doi.org/10.1038/s41598-017-09413-9 |
Sumario: | The memristor is a promising candidate for the next generation non-volatile memory, especially based on HfO(2−x), given its compatibility with advanced CMOS technologies. Although various resistive transitions were reported independently, customized binary and multi-level memristors in unified HfO(2−x) material have not been studied. Here we report Pt/HfO(2−x)/Ti memristors with double memristive modes, forming-free and low operation voltage, which were tuned by oxidation conditions of HfO(2−x) films. As O/Hf ratios of HfO(2−x) films increase, the forming voltages, SET voltages, and R(off)/R(on) windows increase regularly while their resistive transitions undergo from gradually to sharply in I/V sweep. Two memristors with typical resistive transitions were studied to customize binary and multi-level memristive modes, respectively. For binary mode, high-speed switching with 10(3) pulses (10 ns) and retention test at 85 °C (>10(4) s) were achieved. For multi-level mode, the 12-levels stable resistance states were confirmed by ongoing multi-window switching (ranging from 10 ns to 1 μs and completing 10 cycles of each pulse). Our customized binary and multi-level HfO(2−x)-based memristors show high-speed switching, multi-level storage and excellent stability, which can be separately applied to logic computing and neuromorphic computing, further suitable for in-memory computing chip when deposition atmosphere may be fine-tuned. |
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