Online dynamical learning and sequence memory with neuromorphic nanowire networks

R Zhu, S Lilak, A Loeffler, J Lizier, A Stieg… - Nature …, 2023 - nature.com
Abstract Nanowire Networks (NWNs) belong to an emerging class of neuromorphic systems
that exploit the unique physical properties of nanostructured materials. In addition to their …

Localized three-photon upconversion enhancement in silver nanowire networks and its effect in thermal sensing

ED Martínez, LHAR Ferreira, ANC Neto, CDS Brites… - Nanoscale, 2024 - pubs.rsc.org
The quest for enhancing the upconversion luminescence (UCL) efficiency of rare-earth
doped materials has been a common target in nanophotonics research. Plasmonic …

Self-Assembled Monolayer and Nanoparticles Coenhanced Fragmented Silver Nanowire Network Memristor

W Chen, Z Mou, Y Xin, H Li, T Wang… - … Applied Materials & …, 2024 - ACS Publications
Silver nanowire (AgNW) networks with self-assembled structures and synaptic connectivity
have been recently reported for constructing neuromorphic memristors. However, resistive …

Two‐Junction Model in Different Percolation Regimes of Silver Nanowires Networks

JI Diaz Schneider, CP Quinteros, P Levy… - Advanced Functional …, 2024 - Wiley Online Library
Random networks offer fertile ground for achieving complexity and criticality, both crucial for
an unconventional computing paradigm inspired by biological brains' features. In this work …

Memristive and tunneling effects in 3D interconnected silver nanowires

C Chopin, S De Wergifosse, N Marchal… - ACS …, 2023 - ACS Publications
A network of silver nanowires (Ag-NWs) is grown by electrodeposition in a nanoporous
membrane with interconnected nanopores. This bottom-up approach fabrication method …

Two-junction model in different percolation regimes of silver nanowires networks

JI Schneider, CP Quinteros, PE Levy… - arXiv preprint arXiv …, 2024 - arxiv.org
Random networks offer fertile ground for achieving complexity and criticality, both crucial for
an unconventional computing paradigm inspired by biological brains' features. In this work …

MODELIZACIÓN COMPUTACIONAL DE REDES MEMRISTORES: INFLUENCIA DE LA CONECTIVIDAD Y LAS CONDICIONES AMBIENTALES EN SU RESPUESTA …

J Furlanetto, R Weht, C Quinteros - Anales (Asociación Física …, 2024 - SciELO Argentina
Con la perspectiva de implementar sistemas neuromórficos con redes de memristores,
presentamos una plataforma numérico-computacional que permite estudiar sus …