Unveiling the fundamental principles of reconfigurable resistance states in silver/poly(ethylene glycol) nanofluids

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389013%3A_____%2F25%3A00639418" target="_blank" >RIV/61389013:_____/25:00639418 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11320/25:10506779

Výsledek na webu

<a href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202505103" target="_blank" >https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202505103</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/advs.202505103" target="_blank" >10.1002/advs.202505103</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unveiling the fundamental principles of reconfigurable resistance states in silver/poly(ethylene glycol) nanofluids

Popis výsledku v původním jazyce

Developing novel memristive systems aims to implement key principles of biological neuron assemblies – plasticity, adaptivity, and self-organization – into artificial devices for parallel, energy-efficient computing. Solid-state memristive devices, such as crossbar arrays and percolated nanoparticle (NP) networks, already demonstrate these properties. However, closer similarity to neural networks is expected from liquid-state systems, including polymer melts, which remain largely unexplored. Here, the resistive switching in silver/poly(ethylene glycol) (Ag/PEG) nanofluids, prepared by depositing gas-aggregated Ag NPs into PEGs of varying molecular mass, is investigated. These systems form long-range conductive NP bridges with reconfigurable resistance states in response to an electric field. The zeta-potential of Ag NPs and molecular mobility of PEG determine the prevalence of low resistance (ohmic) state, high resistance states (poor conductance) or intermediate transition states governed by space-charge-limited conduction or electron tunneling. The occurrence of these states is given by the interparticle gaps, which are determined by the conformation of PEG molecules adsorbed on the NPs. It is presented, for the first time, an equivalent circuit model for the Ag/PEG system. These findings pave the way to adopt polymer melts as matrices for neuromorphic engineering and bio-inspired electronics.

Název v anglickém jazyce

Unveiling the fundamental principles of reconfigurable resistance states in silver/poly(ethylene glycol) nanofluids

Popis výsledku anglicky

Developing novel memristive systems aims to implement key principles of biological neuron assemblies – plasticity, adaptivity, and self-organization – into artificial devices for parallel, energy-efficient computing. Solid-state memristive devices, such as crossbar arrays and percolated nanoparticle (NP) networks, already demonstrate these properties. However, closer similarity to neural networks is expected from liquid-state systems, including polymer melts, which remain largely unexplored. Here, the resistive switching in silver/poly(ethylene glycol) (Ag/PEG) nanofluids, prepared by depositing gas-aggregated Ag NPs into PEGs of varying molecular mass, is investigated. These systems form long-range conductive NP bridges with reconfigurable resistance states in response to an electric field. The zeta-potential of Ag NPs and molecular mobility of PEG determine the prevalence of low resistance (ohmic) state, high resistance states (poor conductance) or intermediate transition states governed by space-charge-limited conduction or electron tunneling. The occurrence of these states is given by the interparticle gaps, which are determined by the conformation of PEG molecules adsorbed on the NPs. It is presented, for the first time, an equivalent circuit model for the Ag/PEG system. These findings pave the way to adopt polymer melts as matrices for neuromorphic engineering and bio-inspired electronics.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10404 - Polymer science

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advanced Science

ISSN

2198-3844

e-ISSN

2198-3844

Svazek periodika

12

Číslo periodika v rámci svazku

35

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

e05103

Kód UT WoS článku

001516869900001

EID výsledku v databázi Scopus

2-s2.0-105009241764