Spatial Interactions in Hydrogenated Perovskite Nickelate Synaptic Networks.
neuromorphic computing
perovskite nickelates
quantum materials
synaptic plasticity
Journal
Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070
Informations de publication
Date de publication:
09 Aug 2023
09 Aug 2023
Historique:
medline:
28
7
2023
pubmed:
28
7
2023
entrez:
28
7
2023
Statut:
ppublish
Résumé
A key aspect of how the brain learns and enables decision-making processes is through synaptic interactions. Electrical transmission and communication in a network of synapses are modulated by extracellular fields generated by ionic chemical gradients. Emulating such spatial interactions in synthetic networks can be of potential use for neuromorphic learning and the hardware implementation of artificial intelligence. Here, we demonstrate that in a network of hydrogen-doped perovskite nickelate devices, electric bias across a single junction can tune the coupling strength between the neighboring cells. Electrical transport measurements and spatially resolved diffraction and nanoprobe X-ray and scanning microwave impedance spectroscopic studies suggest that graded proton distribution in the inhomogeneous medium of hydrogen-doped nickelate film enables this behavior. We further demonstrate signal integration through the coupling of various junctions.
Identifiants
pubmed: 37506183
doi: 10.1021/acs.nanolett.3c02076
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM