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

Davide Sottocorno

и другие.

Advanced Electronic Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 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.

Язык: 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

и другие.

Physical Review Materials, Год журнала: 2025, Номер 9(3)

Опубликована: Март 10, 2025

Язык: Английский

Процитировано

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

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

Davide Sottocorno

и другие.

Advanced Electronic Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0