The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The mechanism of electroforming of metal oxide memristive switches
Abstract
Metal and semiconductor oxides are ubiquitous electronic materials. Normally insulating, oxides can change behavior under high electric fields--through 'electroforming' or 'breakdown'--critically affecting CMOS (complementary metal-oxide-semiconductor) logic, DRAM (dynamic random access memory) and flash memory, and tunnel barrier oxides. An initial irreversible electroforming process has been invariably required for obtaining metal oxide resistance switches, which may open urgently needed new avenues for advanced computer memory and logic circuits including ultra-dense non-volatile random access memory (NVRAM) and adaptive neuromorphic logic circuits. This electrical switching arises from the coupled motion of electrons and ions within the oxide material, as one of the first recognized examples of a memristor (memory-resistor) device, the fourth fundamental passive circuit element originally predicted in 1971 by Chua. A lack of device repeatability has limited technological implementation of oxide switches, however. Here we explain the nature of the oxide electroforming as an electro-reduction and vacancy creation process caused by high electric fields and enhanced by electrical Joule heating with direct experimental evidence. Oxygen vacancies are created and drift towards the cathode, forming localized conducting channels in the oxide. Simultaneously, O(2-) ions drift towards the anode where they evolve O(2) gas, causing physical deformation of the junction. The problematic gas eruption and physical deformation are mitigated by shrinking to the nanoscale and controlling the electroforming voltage polarity. Better yet, electroforming problems can be largely eliminated by engineering the device structure to remove 'bulk' oxide effects in favor of interface-controlled electronic switching.
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Cites
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Self-citationMemristor—The Missing Circuit Element
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Self-citationDirect electrochemical reduction of titanium dioxide to titanium in molten calcium chloride
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Spike-timing-dependent learning in memristive nanodevices
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Cited by
Memristive devices for computing
Yang, J. J., Strukov, D. B., & Stewart, D. R. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.240 · Cited by 3,885
Self-citation‘Memristive’ switches enable ‘stateful’ logic operations via material implication
Borghetti, J., Snider, G. S., Kuekes, P. J., Yang, J. J., Stewart, D. R., & Williams, R. S. (2010) · Nature · doi:10.1038/nature08940 · Cited by 1,929
Self-citationResistive switching materials for information processing
Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0159-3 · Cited by 1,214
Memory effects in complex materials and nanoscale systems
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High switching endurance in TaOx memristive devices
Yang, J. J., Zhang, M.-X., Strachan, J. P., Miao, F., Pickett, M. D., Kelley, R. D., Medeiros-Ribeiro, G., & Williams, R. S. (2010) · Applied Physics Letters · doi:10.1063/1.3524521 · Cited by 637
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Metadata
- Authors
- Joshua Yang, J., Miao, F., Pickett, M. D., Ohlberg, D. A. A., Stewart, D. R., Lau, C. N., & Williams, R. S.
- Venue
- Nanotechnology
- Publisher
- IOP Publishing
- Published
- 2009-05-05
- Volume
- 20
- Issue
- 21
- Pages
- 215201
- ISSN
- 0957-4484 (ISSN-L)
- 1361-6528
- OpenAlex
- W2154890396
- Cited by
- 860
- References
- 9
- FWCI
- 45.94
- Type
- journal article
- Language
- en
- Open access
- closed
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