Printed Zinc Tin Oxide Memristors for Reservoir Computing

Funding Information: This work was financed by national funds from FCT-Fundação para a Ciência e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020, and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication–i3N. R.A.M. and C.S. thank the Fundação para a Ciência e Tecnologia (FCT) for financial support under the Ph.D. grants (2022.13773.BD and 2021.07840.BD). E.C., A.K., and J.D. acknowledge funding received from FCT via 2021.03825.CEECIND, 2021.03386.CEECIND, and CEECINST/00102/2018, respectively. The authors acknowledge the FCT for funding received with project OPERA via 2022.08132.PTDC and project VOCMemsense via DRI/India/0430/2020. The authors further acknowledge the TERRAMETA project no.10109710. This work also received funding from the HORIZONEIC-2023-PATHFINDERCHALLENGES-01 program, grant agreement no. 101161114 (ELEGANCE). G.M. acknowledges the support of the European Research Council (ERC) under the European Union’s ERC Staring grant (ERC-2024-STG) agreement “MEMBRAIN” no. 101 160 604. Publisher Copyright: © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.

Publication Details

Journal
Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Published
2025-08-03
Primary Topic
Advanced Memory and Neural Computing
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article
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article

Printed Zinc Tin Oxide Memristors for Reservoir Computing

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Advanced Memory and Neural Computing
article

Printed Zinc Tin Oxide Memristors for Reservoir Computing

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Abstract

Funding Information: This work was financed by national funds from FCT-Fundação para a Ciência e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020, and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication–i3N. R.A.M. and C.S. thank the Fundação para a Ciência e Tecnologia (FCT) for financial support under the Ph.D. grants (2022.13773.BD and 2021.07840.BD). E.C., A.K., and J.D. acknowledge funding received from FCT via 2021.03825.CEECIND, 2021.03386.CEECIND, and CEECINST/00102/2018, respectively. The authors acknowledge the FCT for funding received with project OPERA via 2022.08132.PTDC and project VOCMemsense via DRI/India/0430/2020. The authors further acknowledge the TERRAMETA project no.10109710. This work also received funding from the HORIZONEIC-2023-PATHFINDERCHALLENGES-01 program, grant agreement no. 101161114 (ELEGANCE). G.M. acknowledges the support of the European Research Council (ERC) under the European Union’s ERC Staring grant (ERC-2024-STG) agreement “MEMBRAIN” no. 101 160 604. Publisher Copyright: © 2025 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.

Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)
Industry, innovation and infrastructure, Partnerships for the goals
Openalex Percentile: Top 44%
Advanced Memory and Neural Computing
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Printed Zinc Tin Oxide Memristors for Reservoir Computing · Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) (2025) | TGRS Research Map | TGRS