Advances in Electrically and Thermally Conductive Functional Nanocomposites Based on Carbon Nanotubes DOI Open Access
A. V. Shchegolkov,

Aleksei V. Shchegolkov,

Vladimir V. Kaminskii

et al.

Polymers, Journal Year: 2024, Volume and Issue: 17(1), P. 71 - 71

Published: Dec. 30, 2024

The paper presents a review of CNTs synthesis methods and their application as functional filler to obtain polymer composites for various technical purposes strain gauges, electrical heating, anti-static coatings, electrically conductive compounds, etc. Various allow with different morphology structural properties be created, which expands the possibilities such nanoscale structures. Polymers can provide effects ‘shape memory’ self-repair mechanical defects. Different combinations polymers dispersed fillers influence change in thermal conductivity, well positive temperature coefficient resistance, makes it possible achieve effect self-regulation during heating. make form PTCR (positive resistance) elastomers at lower concentrations, preserve strength use more efficient modes heat generation. For improve sensitivity extend measurement range. thermoplastic provides operation electric heating level 200 °C (voltage 240 V), allows heaters operate power supply from household network. CNTs-based gauges condition monitoring composite materials.

Language: Английский

Mechanoresponsive self‐powered piezoelectric energy‐generating composite hydrogels based on carbon nanotube‐reinforced fungal‐carboxymethyl chitosan‐bacterial cellulose nanofibers for wearable electronics DOI Open Access

Kummara Madhusudana Rao,

Vineet Kumar, Sang‐Shin Park

et al.

Polymer Engineering and Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Abstract Developing conductive hydrogels with both enhanced mechanical properties and superior sensing capabilities for wearable, flexible electronics remains challenging. Here, we developed mechanoresponsive self‐powered piezoelectric energy‐generating composite hydrogels. These were prepared by blending fungal‐derived carboxymethyl chitosan (FC), carboxylate‐bacterial cellulose nanofibers (CBC‐NFs), carbon nanotubes (CNTs) within a covalently crosslinked polyacrylamide (PAM) network (CNT‐FBCNF). The resulting showed remarkable due to the molecular interactions between polymer chains. self‐recoverable property high stability under compressive force at 40% of strain (2000 cycles). maximum load (N) 27.8 N was obtained optimized hydrogel, CNT‐FBCNF (1% CNT content). This hydrogel exhibited good conductivity 1.3 S/m, which attributed homogeneous dispersion CNTs matrix sufficient biocompatibility skin fibroblasts. also impressive performance as sensor, boasting wide range (10–40%), excellent stability, repeatability. Furthermore, strategic cutting assembly generated sensor capable accurately monitoring finger thumb pressure in real‐time. study will significantly accelerate development hydrogel‐based sensors rapidly advancing field wearable soft electronics. Highlights CNT‐reinforced electrical (1.3 S/m) self‐recovery strain‐sensing capability 10%

Language: Английский

Citations

0

Enabling Fast AI-Driven Inverse Design of a Multifunctional Nanosurface by Parallel Evolution Strategies DOI Creative Commons
Ashish Chapagain,

Dima Abuoliem,

In Ho Cho

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 15(1), P. 27 - 27

Published: Dec. 27, 2024

Multifunctional nanosurfaces receive growing attention due to their versatile properties. Capillary force lithography (CFL) has emerged as a simple and economical method for fabricating these surfaces. In recent works, the authors proposed leverage evolution strategies (ES) modify nanosurface characteristics with CFL achieve specific functionalities such frictional, optical, bactericidal For artificial intelligence (AI)-driven inverse design, earlier research integrates basic multiphysics principles dynamic viscosity, air diffusivity, surface tension, electric potential backward deep learning (DL) on framework of ES. As successful alternative reinforcement learning, ES performed well AI-driven design. However, computational limitations pose critical technical challenge achieving fast efficient This paper addresses challenges by proposing parallel-computing-based (named parallel ES). The demonstrated desired speed scalability, accelerating design multifunctional nanopatterned Detailed algorithms cost models are presented, showing its promising tool advancing nanomanufacturing.

Language: Английский

Citations

0

Advances in Electrically and Thermally Conductive Functional Nanocomposites Based on Carbon Nanotubes DOI Open Access
A. V. Shchegolkov,

Aleksei V. Shchegolkov,

Vladimir V. Kaminskii

et al.

Polymers, Journal Year: 2024, Volume and Issue: 17(1), P. 71 - 71

Published: Dec. 30, 2024

The paper presents a review of CNTs synthesis methods and their application as functional filler to obtain polymer composites for various technical purposes strain gauges, electrical heating, anti-static coatings, electrically conductive compounds, etc. Various allow with different morphology structural properties be created, which expands the possibilities such nanoscale structures. Polymers can provide effects ‘shape memory’ self-repair mechanical defects. Different combinations polymers dispersed fillers influence change in thermal conductivity, well positive temperature coefficient resistance, makes it possible achieve effect self-regulation during heating. make form PTCR (positive resistance) elastomers at lower concentrations, preserve strength use more efficient modes heat generation. For improve sensitivity extend measurement range. thermoplastic provides operation electric heating level 200 °C (voltage 240 V), allows heaters operate power supply from household network. CNTs-based gauges condition monitoring composite materials.

Language: Английский

Citations

0