journal article·2024-11

Adjustable ion energy barrier for reliable memristive neuromorphic systems

Tianci Huang, Zuqing Yuan

Science China Materials· Volume 67· Issue 11
Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (10)

Show source-provided references
1. Lanza M, Sebastian A, Lu WD, et al. Memristive technologies for data storage, computation, encryption, and radio-frequency communication. Science, 2022, 376: eabj997910.1126/science.abj9979 ↗
2. Zidan MA, Strachan JP, Lu WD. The future of electronics based on memristive systems. Nat Electron, 2018, 1: 22–2910.1038/s41928-017-0006-8 ↗
3. Cao G, Cheng C, Zhang H, et al. The application of halide perovskites in memristors. J Semicond, 2020, 41: 05120510.1088/1674-4926/41/5/051205 ↗
4. Gong J, Ji S, Li J, et al. Three-dimensional/one-dimensional perovskite heterostructures for stable tri-state synaptic memristors. Sci China Mater, 2024, 67: 2848–285510.1007/s40843-024-2981-7 ↗
5. Peng W, Liu C, Xu C, et al. Fully printed IGZO memristor arrays with robust threshold switching characteristics for artificial nociceptors. Sci China Mater, 2024, 67: 2661–267010.1007/s40843-024-2887-9 ↗
6. Wang X, Yang F, Liu Q, et al. Neuromorphic circuits based on memristors: endowing robots with a human-like brain. J Semicond, 2024, 45: 06130110.1088/1674-4926/23120037 ↗
7. Christensen DV, Dittmann R, Linares-Barranco B, et al. 2022 roadmap on neuromorphic computing and engineering. Neuromorph Comput Eng, 2022, 2: 02250110.1088/2634-4386/ac4a83 ↗
8. Choi SH, Park SO, Seo S, et al. Reliable multilevel memristive neuromorphic devices based on amorphous matrix via quasi-1D filament confinement and buffer layer. Sci Adv, 2022, 8: eabj786610.1126/sciadv.abj7866 ↗
9. Park SO, Jeong H, Park J, et al. Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing. Nat Commun, 2022, 13: 288810.1038/s41467-022-30539-6 ↗
10. Bae J, Kwon C, Park SO, et al. Tunable ion energy barrier modulation through aliovalent halide doping for reliable and dynamic memristive neuromorphic systems. Sci Adv, 2024, 10: eadm722110.1126/sciadv.adm7221 ↗