An Ultralow Power LixTiO2‐Based Synaptic Transistor for Scalable Neuromorphic Computing

Engineering Sciences [physics] Materials Engineering Sciences [physics] Micro and nanotechnologies/Microelectronics Physics [physics] Condensed Matter [cond-mat] Materials Science [cond-mat.mtrl-sci]

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Adv Elect Materials - 2022 - Nguyen - An Ultralow Power LixTiO2‐Based Synaptic Transistor for Scalable Neuromorphic.pdf (2.93 Mo)

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https://hal-centralesupelec.archives-ouvertes.fr/hal-03854643

Submitted on : Tuesday, November 15, 2022-11:14:59 PM

Last modification on : Thursday, December 1, 2022-9:56:05 AM

Long-term archiving on: Thursday, February 16, 2023-9:11:23 PM

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hal-03854643 , version 1 (15-11-2022)

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HAL Id : hal-03854643 , version 1
DOI : 10.1002/aelm.202200607

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Ngoc‐anh Nguyen, Olivier Schneegans, Raphaël Salot, Yann Lamy, John Giapintzakis, et al.. An Ultralow Power LixTiO2‐Based Synaptic Transistor for Scalable Neuromorphic Computing. Advanced Electronic Materials, 2022, pp.2200607. ⟨10.1002/aelm.202200607⟩. ⟨hal-03854643⟩

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