journal article·2024-04-12Open access

In Situ TEM Investigation of Thermally Induced Modifications of Cluster-Assembled Gold Films Undergoing Resistive Switching: Implications for Nanostructured Neuromorphic Devices

Alberto Casu, Angelica Chiodoni, Yurii P. Ivanov, Giorgio Divitini, Paolo Milani, Andrea Falqui

ACS Applied Nano Materials· Volume 7· Issue 7

Abstract

Cluster-assembled nanostructured gold films are renowned for exhibiting neuromorphic properties, making them pivotal components in receptrons. Receptrons, which extend the perceptron framework, are specifically crafted for the classification of Boolean functions due to their distinctive properties. However, the current understanding of the phenomena underpinning this behavior is based on overall electrical measurements and speculative modeling. In situ biasing and heating transmission electron microscopy (TEM) imaging were performed to directly investigate the nanoscale origin of the films’ neuromorphic properties. The films, resulting from the self-assembling of preformed gold nanoclusters, were deposited just above the percolation threshold to keep them electrically conductive and sufficiently thin for TEM observation and displayed a highly branched structure at the nano- and microscale. They were studied upon in situ biasing by imaging the whole area in between the biasing electrodes. The main biasing effect consisted of very confined, pronounced, and fast retraction of the branches, with concomitant formation of a few thick nanosized gold particles, and spatially limited rearrangement of the film structure. Similarly, upon overall in situ heating, the films retracted their branched structure without apparent mass loss and again with the formation of separated gold polycrystalline nanosized islands over the whole heating substrate. These general results indicate the likely occurrence of extremely intense and very local hot spots during in situ biasing, whose temperature and extension increased with the applied voltage. They also provide direct evidence of the local arrangements occurring in the film nanostructure and morphology due to electrical biasing and help understand the origin of the neuromorphic behavior of the cluster-assembled gold films.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Electrochemical Analysis and Applications · Neuroscience and Neural Engineering

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

Affiliations

Department of Physics “Aldo Pontremoli”, University of Milan, Via Celoria 16, 20131 Milan, Italy

Center for Sustainable Future Technologies@PoliTo, Istituto Italiano di Tecnologia, Via Livorno 60, 10144 Torino, Italy

Electron Spectroscopy and Nanoscopy, Istituto Italiano di Tecnologia─IIT, Via Morego 30, 16163 Genova, Italy

Interdisciplinary Centre for Nanostructured Materials and Interfaces (CIMaINa), Department of Physics “Aldo Pontremoli”, University of Milan, Via Celoria 16, 20133 Milan, Italy

Funding

Universit? degli Studi di Milano · Conferenza dei Rettori delle Universit? Italian

References (47)

Show source-provided references
1. 10.1038/s41586-021-04362-w10.1038/s41586-021-04362-w ↗
2. 10.1126/science.adh117410.1126/science.adh1174 ↗
3. 10.1038/s41586-023-06337-510.1038/s41586-023-06337-5 ↗
4. 10.1038/s41467-023-42470-510.1038/s41467-023-42470-5 ↗
5. 10.1126/sciadv.aaw843810.1126/sciadv.aaw8438 ↗
6. 10.1038/s41467-023-40939-x10.1038/s41467-023-40939-x ↗
7. 10.1088/2634-4386/ac29c910.1088/2634-4386/ac29c9 ↗
8. 10.35848/1347-4065/ac665c10.35848/1347-4065/ac665c ↗
9. 10.1002/aisy.20208007110.1002/aisy.202080071 ↗
10. 10.1002/adma.20110305310.1002/adma.201103053 ↗
11. 10.1109/TED.2017.276606310.1109/TED.2017.2766063 ↗
12. 10.1038/s41598-017-08244-y10.1038/s41598-017-08244-y ↗
13. 10.1038/s41598-019-51330-610.1038/s41598-019-51330-6 ↗
14. 10.1088/1361-6528/ab76ec10.1088/1361-6528/ab76ec ↗
15. 10.1038/s41598-020-76632-y10.1038/s41598-020-76632-y ↗
16. 10.1039/C9NA00256A10.1039/C9NA00256A ↗
17. 10.1038/s41598-023-46990-410.1038/s41598-023-46990-4 ↗
18. 10.1016/j.apsusc.2022.15248510.1016/j.apsusc.2022.152485 ↗
19. 10.1016/j.neunet.2023.08.00110.1016/j.neunet.2023.08.001 ↗
20. 10.1080/23746149.2021.190884710.1080/23746149.2021.1908847 ↗
21. 10.1103/PhysRevMaterials.5.12600110.1103/PhysRevMaterials.5.126001 ↗
22. 10.1017/S143192760808737010.1017/S1431927608087370 ↗
23. 10.1038/3382310.1038/33823 ↗
24. 10.1016/S0304-3991(99)00013-310.1016/S0304-3991(99)00013-3 ↗
25. 10.1016/j.ultramic.2010.01.00910.1016/j.ultramic.2010.01.009 ↗
26. 10.1088/1742-6596/241/1/01201510.1088/1742-6596/241/1/012015 ↗
27. 10.1016/j.jsb.2013.10.01610.1016/j.jsb.2013.10.016 ↗
28. 10.1016/j.ultramic.2016.08.00710.1016/j.ultramic.2016.08.007 ↗
29. 10.1080/23746149.2019.163395710.1080/23746149.2019.1633957 ↗
30. 10.3390/cryst1001004110.3390/cryst10010041 ↗
31. 10.3390/nano801004010.3390/nano8010040 ↗
32. Hansen T. W. · 201610.1007/978-3-319-22988-1 ↗
33. 10.1103/PhysRevB.87.08140410.1103/PhysRevB.87.081404 ↗
34. 10.1002/jemt.2067310.1002/jemt.20673 ↗
35. 10.1021/acsnano.3c0451610.1021/acsnano.3c04516 ↗
36. 10.1063/1.472991010.1063/1.4729910 ↗
37. 10.1016/j.actamat.2015.01.07210.1016/j.actamat.2015.01.072 ↗
38. 10.1016/j.matchar.2018.03.02610.1016/j.matchar.2018.03.026 ↗
39. 10.1146/annurev-matsci-070511-15504810.1146/annurev-matsci-070511-155048 ↗
40. 10.1016/j.actamat.2013.01.06210.1016/j.actamat.2013.01.062 ↗
41. 10.1016/j.actamat.2014.02.00810.1016/j.actamat.2014.02.008 ↗
42. 10.1126/science.aaa243310.1126/science.aaa2433 ↗
43. 10.1063/1.37088210.1063/1.370882 ↗
44. 10.1103/PhysRevB.12.314210.1103/PhysRevB.12.3142 ↗
45. 10.1016/j.mser.2007.04.00210.1016/j.mser.2007.04.002 ↗
46. 10.1021/acsami.7b1013610.1021/acsami.7b10136 ↗
47. 10.1088/0022-3727/42/8/08200210.1088/0022-3727/42/8/082002 ↗