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| Pàgina inicial > Articles > Articles publicats > Magnetoionics for Synaptic Devices and Neuromorphic Computing : |
| Data: | 2024 |
| Resum: | With the advent of Big Data, traditional digital computing is struggling to cope with intricate tasks related to data classification or pattern recognition. To mitigate this limitation, software-based neural networks are implemented, but they are run in conventional computers whose operation principle (with separate memory and data-processing units) is highly inefficient compared to the human brain. Brain-inspired in-memory computing is achieved through a wide variety of methods, for example, artificial synapses, spiking neural networks, or reservoir computing. However, most of these methods use materials (e. g. , memristor arrays, spintronics, phase change memories) operated with electric currents, resulting in significant Joule heating effect. Tuning magnetic properties by voltage-driven ion motion (i. e. , magnetoionics) has recently emerged as an alternative energy-efficient approach to emulate functionalities of biological synapses: potentiation/depression, multilevel storage, or transitions from short-term to long-term plasticity. In this perspective, the use of magnetoionics in neuromorphic applications is critically reviewed, with emphasis on modulating synaptic weight through: 1) control of magnetization by voltage-induced ion retrieval/insertion; and 2) control of magnetic stripe domains and skyrmions in gated magnetic thin films adjacent to solid-state ionic supercapacitors. The potential prospects in this emerging research area together with a forward-looking discussion on future opportunities are provided. |
| Ajuts: | European Commission 101054687 Agencia Estatal de Investigación PID2020-116844RB-C21 Agencia Estatal de Investigación PDC2021-121276-C31 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-00651 |
| Nota: | Altres ajuts: acords transformatius de la UAB |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Publicat a: | Small science, Vol. 4, Issue 10 (October 2024) , art. 2400133, ISSN 2688-4046 |
16 p, 5.5 MB |