Abstract
Memristive devices generally consist of metal oxide elements with specific structure and chemical composition, which are crucial to obtain the required variability in resistance. This makes the control of oxide properties vital. While CMOS compatible production technologies for metal oxides deposition generally involve physical or chemical deposi- tion pathways, we here describe the possibility of using an electrochemical technique, anodic oxidation, as an alternative route to produce memristive oxides. In fact, anodiza- tion allows to form a very large range of oxides on the surface of valve metals, such as titanium, hafnium, niobium and tantalum, whose thickness, structure and functional properties depend on process parameters imposed. These oxides may be of interest to build neural networks based on memristive elements produced by anodic oxidation.
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CITATION STYLE
Brenna, A., Corinto, F., Noori, S., Ormellese, M., Pedeferri, M., & Diamanti, M. V. (2018). Memristive Anodic Oxides: Production, Properties and Applications in Neuromorphic Computing. In Advances in Memristor Neural Networks - Modeling and Applications. InTech. https://doi.org/10.5772/intechopen.79292
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