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
- Type
- article
- Field-Weighted Citation Impact
- 0.00