dc.contributor.author | DRAGOMAN, L. | |
dc.contributor.author | DINESCU, A. | |
dc.contributor.author | DRAGOMAN, D. | |
dc.contributor.author | BRANISTE, T. | |
dc.contributor.author | CIOBANU, V. | |
dc.contributor.author | TIGINYANU, I. | |
dc.date.accessioned | 2020-05-31T14:51:45Z | |
dc.date.available | 2020-05-31T14:51:45Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | DRAGOMAN, L., DINESCU, A., DRAGOMAN, D. et al. Mimicking Brain Activities: Artificial Synapses and Learning Using GaN Membranes. In: ICNMBE-2019: International conference on Nanotechnologies and Biomedical Engineering: proc. of the 4rd intern. conf., Sept. 18-21, 2019: Program and Abstract Book. Chişinău, 2019, p. 97. ISBN 978-9975-72-392-3. | en_US |
dc.identifier.isbn | 978-9975-72-392-3 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/8520 | |
dc.description | Abstract | en_US |
dc.description.abstract | We show experimentally that ultrathin GaN membranes, having the thickness of 15 nm and planar dimensions of 12 184 m2, are acting as memristive devices which are the anologue of brain sysnapses. The memristive behavior origins from the migration of the negatively-charged deep traps, which form in the volume of the membrane during the fabrication process, towards the unoccupied surface states of the suspended membranes. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Tehnica UTM | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | ultrathin membranes | en_US |
dc.subject | memristors | en_US |
dc.subject | crystalline nanomembranes | en_US |
dc.title | Mimicking Brain Activities: Artificial Synapses and Learning Using GaN Membranes | en_US |
dc.type | Article | en_US |
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