Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks DOI Creative Commons
Giacomo Nadalini, Alexander Dallinger,

Davide Sottocorno

et al.

Advanced Electronic Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Abstract The advent of neuromorphic substrates is promoting the development in materia autonomous and adaptive devices, employed as hardware solutions to reduce current inefficiencies traditional data processing techniques, terms energy requirements. integration capabilities on soft materials here focused edge computing paradigm interest for robotics wearable devices. For such purposes, gold nanostructured complex networks produced gas phase are fabricate latter a Polydimethylsiloxane (PDMS) substrate equipped with stretchable laser‐induced graphene electrodes, exploited production devices bridge gap between interaction environment. description control non‐linear, resistive switching electrical properties demonstrated by mechano‐responsive electronic switches reconfigurable logic gates. These preserve Boolean functions classifications even under small mechanical perturbations, thanks redundant connectivity networks. results constitute promising starting point fruitful combination physical intelligence directly integrated systems efficiently interact surrounding scenario.

Language: Английский

Neuromorphic-like dynamics in percolating copper nanoparticle networks: Synthesis, characterization, and limitations DOI
Adrianus Julien Theodoor van der Ree, Majid Ahmadi, Gert H. ten Brink

et al.

Physical Review Materials, Journal Year: 2025, Volume and Issue: 9(3)

Published: March 10, 2025

Language: Английский

Citations

0
Brain-like hardware, do we need it? DOI Creative Commons
Francesca Borghi, Thierry Nieus, D. E. Galli

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Dec. 16, 2024

The brain's ability to perform efficient and fault-tolerant data processing is strongly related its peculiar interconnected adaptive architecture, based on redundant neural circuits interacting at different scales. By emulating the learning mechanisms, computing technologies strive achieve higher levels of energy efficiency computational performance. Although efforts address neuromorphic solutions through hardware top-down CMOS-based have obtained interesting results in terms energetic improvement, replication self-assembled architectures not considered roadmaps electronics. exploration elemental blocks mimic biological networks' complexity explored general frame unconventional it has reached yet a maturity stage enabling benchmark with standard electronic approaches performances, compatibility scalability. Here we discuss some aspects advantages disadvantages emulation brain for hardware. We also possible directions hybrid where substrates coexist integrate conventional electronics view architectures.

Language: Английский

Citations

1
Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks DOI Creative Commons
Giacomo Nadalini, Alexander Dallinger,

Davide Sottocorno

et al.

Advanced Electronic Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Abstract The advent of neuromorphic substrates is promoting the development in materia autonomous and adaptive devices, employed as hardware solutions to reduce current inefficiencies traditional data processing techniques, terms energy requirements. integration capabilities on soft materials here focused edge computing paradigm interest for robotics wearable devices. For such purposes, gold nanostructured complex networks produced gas phase are fabricate latter a Polydimethylsiloxane (PDMS) substrate equipped with stretchable laser‐induced graphene electrodes, exploited production devices bridge gap between interaction environment. description control non‐linear, resistive switching electrical properties demonstrated by mechano‐responsive electronic switches reconfigurable logic gates. These preserve Boolean functions classifications even under small mechanical perturbations, thanks redundant connectivity networks. results constitute promising starting point fruitful combination physical intelligence directly integrated systems efficiently interact surrounding scenario.

Language: Английский

Citations

0