High Performance of an In-Material Reservoir Computing Device Achieved by Complex Dynamics in a Nanoparticle Random Network Memristor
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide An in-material reservoir computing (RC) device with an Ag–Ag 2 S core–shell nanoparticle (NP) network is proposed. Network-wide nonlinear sine-wave outputs of higher frequencies and varying phases were produced from the different Ag + ion diffusion rates and filament formation caused by the heterogeneous NP size in the thiol layer. Such emergent dynamics of multiple information regimes enabled the reconstruction of Fourier waves, with a maximum accuracy of 99% achieved only for trained outputs with mixed spatiotemporal complexities. Additionally, the device showed stable retrieval of past information with a two-times-step delay and successfully computed a two-step time-series prediction task with 87% accuracy.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Neural dynamics and brain function
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech), 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Japan
Research Center for Neuromorphic AI Hardware, Kyutech, Kitakyushu 808-0196, Japan
Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Funding
Thailand Science Research and Innovation · Core Research for Evolutional Science and Technology · ACT-X · Japan Society for the Promotion of Science · Kitakyushu Foundation for the Advancement of Industry, Science and Technology
References (41)
Show source-provided references
1. 10.1016/j.cosrev.2009.03.00510.1016/j.cosrev.2009.03.005 ↗
2. 10.1126/science.109127710.1126/science.1091277 ↗
3. 10.1016/j.neunet.2007.04.00310.1016/j.neunet.2007.04.003 ↗
4. 10.1016/j.neunet.2019.03.00510.1016/j.neunet.2019.03.005 ↗
5. 10.35848/1347-4065/ab8d4f10.35848/1347-4065/ab8d4f ↗
6. 10.1002/aisy.20220012310.1002/aisy.202200123 ↗
7. 10.1109/ACCESS.2018.279458410.1109/ACCESS.2018.2794584 ↗
8. 10.1063/1.511518310.1063/1.5115183 ↗
9. 10.1002/adma.20210882610.1002/adma.202108826 ↗
10. 10.1038/s41467-023-39371-y10.1038/s41467-023-39371-y ↗
11. 10.1002/adfm.20220472110.1002/adfm.202204721 ↗
12. 10.1002/aisy.20210014510.1002/aisy.202100145 ↗
13. 10.1038/s41467-018-04886-210.1038/s41467-018-04886-2 ↗
14. 10.1002/aisy.20190008410.1002/aisy.201900084 ↗
15. 10.1038/s42256-023-00609-510.1038/s42256-023-00609-5 ↗
16. 10.1038/s41928-019-0313-310.1038/s41928-019-0313-3 ↗
17. 10.1088/0957-4484/24/38/38400410.1088/0957-4484/24/38/384004 ↗
18. 10.1038/s41563-021-01099-910.1038/s41563-021-01099-9 ↗
19. 10.35848/1347-4065/abe20610.35848/1347-4065/abe206 ↗
20. 10.1002/adma.20210268810.1002/adma.202102688 ↗
21. 10.7567/JJAP.55.1102B210.7567/JJAP.55.1102B2 ↗
22. 10.1021/acsami.0c1115710.1021/acsami.0c11157 ↗
23. 10.1021/jp305748a10.1021/jp305748a ↗
24. 10.7567/1347-4065/ab5c7710.7567/1347-4065/ab5c77 ↗
25. Kandel E. R. · 2014
26. 10.1038/nmat475610.1038/nmat4756 ↗
27. 10.1038/s41467-017-02572-310.1038/s41467-017-02572-3 ↗
28. Hasegawa, T.; Terabe, K.; Nakayama, T.; Aono, M. In Quantum Point Contact Switch Using Solid Electrochemical Reaction, Extended Abstracts of the 2001 International Conference on Solid State Devices and Materials; SSDM, 2001; pp 7–8.10.7567/SSDM.2001.D-8-3 ↗
29. 10.1002/adma.20110259710.1002/adma.201102597 ↗
30. 10.1021/nn100483a10.1021/nn100483a ↗
31. 10.1002/adma.20090368010.1002/adma.200903680 ↗
32. 10.1038/nmat305410.1038/nmat3054 ↗
33. 10.1038/s41467-020-20692-110.1038/s41467-020-20692-1 ↗
34. 10.1088/0957-4484/26/20/20400310.1088/0957-4484/26/20/204003 ↗
35. 10.1371/journal.pone.004277210.1371/journal.pone.0042772 ↗
36. 10.9790/3021-020597197810.9790/3021-0205971978 ↗
37. 10.1088/0957-4484/18/48/48520210.1088/0957-4484/18/48/485202 ↗
38. 10.7567/JJAP.57.03ED0210.7567/JJAP.57.03ED02 ↗
39. 10.1038/s41467-017-02337-y10.1038/s41467-017-02337-y ↗
40. 10.1002/advs.20210407610.1002/advs.202104076 ↗
41. 10.1088/2634-4386/ac433910.1088/2634-4386/ac4339 ↗