The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Adaptive oxide electronics: A review
Abstract
Novel information processing techniques are being actively explored to overcome fundamental limitations associated with CMOS scaling. A new paradigm of adaptive electronic devices is emerging that may reshape the frontiers of electronics and enable new modalities. Creating systems that can learn and adapt to various inputs has generally been a complex algorithm problem in information science, albeit with wide-ranging and powerful applications from medical diagnosis to control systems. Recent work in oxide electronics suggests that it may be plausible to implement such systems at the device level, thereby drastically increasing computational density and power efficiency and expanding the potential for electronics beyond Boolean computation. Intriguing possibilities of adaptive electronics include fabrication of devices that mimic human brain functionality: the strengthening and weakening of synapses emulated by electrically, magnetically, thermally, or optically tunable properties of materials.In this review, we detail materials and device physics studies on functional metal oxides that may be utilized for adaptive electronics. It has been shown that properties, such as resistivity, polarization, and magnetization, of many oxides can be modified electrically in a non-volatile manner, suggesting that these materials respond to electrical stimulus similarly as a neural synapse. We discuss what device characteristics will likely be relevant for integration into adaptive platforms and then survey a variety of oxides with respect to these properties, such as, but not limited to, TaOx, SrTiO3, and Bi4-xLaxTi3O12. The physical mechanisms in each case are detailed and analyzed within the framework of adaptive electronics. We then review theoretically formulated and current experimentally realized adaptive devices with functional oxides, such as self-programmable logic and neuromorphic circuits. Finally, we speculate on what advances in materials physics and engineering may be needed to realize the full potential of adaptive oxide electronics.
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Cited by
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Solid-State Memcapacitors and Their Applications
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Metadata
- Authors
- Ha, S. D., & Ramanathan, S.
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2011-10-01
- Volume
- 110
- Issue
- 7
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W1997611279
- Cited by
- 307
- References
- 17
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- closed
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