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

Dima Abuoliem,

In Ho Cho

и другие.

Nanomaterials, Год журнала: 2024, Номер 15(1), С. 27 - 27

Опубликована: Дек. 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.

Язык: Английский

Polymer Composites with Nanomaterials for Strain Gauging: A Review DOI Open Access

Aleksei V. Shchegolkov,

A. V. Shchegolkov,

Vladimir V. Kaminskii

и другие.

Journal of Composites Science, Год журнала: 2025, Номер 9(1), С. 8 - 8

Опубликована: Янв. 2, 2025

Strain gauges and strain gauge transducers are important tools in the field of material resistance research to measure stresses strains solids. These methods devices have a wide range applications, from construction mechanical engineering, where properties materials need be monitored optimized. The use nanomaterials allows for more sensitive compact sensors. Nanotechnology makes it possible create with improved electrical properties. At same time, unique that make them ideal gauges. This paper considers different types composites based on polymer matrices additives dispersed nanomaterials, which designed tasks. Thermoplastics elastomers can used as matrices. Dispersed fillers MXene such carbon nanotubes, graphene, metals, etc. Despite obvious advantages conducting polymers modified structures, there problems creating effective ability operate under large deformations an sensitivity accuracy measurements range. article also provides brief information technical evolution gauges, wire foil nanocomposites. A modern classification is provided. disadvantages existing shown. review contains commercial mechanisms conductivity formation described detail. areas application nanocomposite specified purpose this study determine prospects various aimed at readers.

Язык: Английский

Процитировано

2

Recent Advances in Transparent Electrodes and Their Multimodal Sensing Applications DOI Creative Commons
Majed Althumayri, Ritu Das, Ramu Banavath

и другие.

Advanced Science, Год журнала: 2024, Номер 11(38)

Опубликована: Авг. 9, 2024

This review examines the recent advancements in transparent electrodes and their crucial role multimodal sensing technologies. Transparent electrodes, notable for optical transparency electrical conductivity, are revolutionizing sensors by enabling simultaneous detection of diverse physical, chemical, biological signals. Materials like graphene, carbon nanotubes, conductive polymers, which offer a balance between transparency, mechanical flexibility, at forefront this development. These integral various applications, from healthcare to solar cell technologies, enhancing sensor performance complex environments. The paper addresses challenges applying these such as need high optoelectronic performance, biocompatibility. It explores new materials innovative techniques overcome hurdles, aiming broaden capabilities devices. provides comparative analysis different electrode materials, discussing applications ongoing development novel systems sensing. exploration offers insights into future highlighting transformative potential bioelectronics

Язык: Английский

Процитировано

9

Toxicity of Carbon Nanomaterials: A model to predict ROS production from easily measurable surface characteristics DOI Creative Commons
Vilhelm Malmborg, Derek Alexander Elam, Veronica Di Battista

и другие.

Carbon, Год журнала: 2025, Номер unknown, С. 119997 - 119997

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Assessing the Adhesiveness and Long-Term Behaviour of Piezoresistive Strain Sensor Materials for Application in Structural Health Monitored Structures DOI Creative Commons

Daniel Kimpfbeck,

Herbert Enser, Jonas Wagner

и другие.

Sensors, Год журнала: 2025, Номер 25(6), С. 1659 - 1659

Опубликована: Март 7, 2025

The durability of piezoresistive sensor materials is a core prerequisite for their implementation in structural health monitoring systems. In this work, three were subjected to extensive cyclic tensile loadings, and behaviour was analysed before, after, during testing. To end, aluminium specimens coated with different industry-grade lacquers, then applied onto each specimen. Sensors made from carbon black displayed excellent linearity even after loading cycles (R2>0.88). A decline all sensors based on allotropes discovered, whereas the polymer-based improved. Furthermore, adhesion substrate great importance. Good ensures strains underlying structure are correctly transmitted into materials. Based contact angle measurements liquids work determined. findings verified by tape tests.

Язык: Английский

Процитировано

0

Carbon-based iontronics – current state and future perspectives DOI Creative Commons
Panlong Li, Przemysław Galek, Julia Grothe

и другие.

Chemical Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Carbon-based iontronics is an emerging field. Various nanostructured carbon materials enable bio-inspired information sensing, processing, and actuation by mimicking bioelectric signals bioactive ion interactions.

Язык: Английский

Процитировано

0

Green synthesis of nanomaterials from bio-waste for efficient photocatalytic sensors DOI
Pratik Jagtap, Rajesh W. Raut, Aniket Gade

и другие.

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 137 - 153

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Molecularly imprinted polymers and metal-organic framework-based nanomaterial sensors for food and beverage analysis and safety–A review DOI Creative Commons
Favour Ezinne Ogulewe, Akeem Adeyemi Oladipo, Mustafa Gazi

и другие.

Talanta Open, Год журнала: 2025, Номер unknown, С. 100448 - 100448

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Definitions and general characteristics of sensors DOI

Shalini Nagabooshanam

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 17 - 28

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives DOI Open Access
Amiya Kumar Tripathy, Akshata Y. Patne, Subhra Mohapatra

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(22), С. 12368 - 12368

Опубликована: Ноя. 18, 2024

Nanotechnology and machine learning (ML) are rapidly emerging fields with numerous real-world applications in medicine, materials science, computer engineering, data processing. ML enhances nanotechnology by facilitating the processing of dataset nanomaterial synthesis, characterization, optimization nanoscale properties. Conversely, improves speed efficiency computing power, which is crucial for algorithms. Although capabilities still their infancy, a review research literature provides insights into exciting frontiers these suggests that integration can be transformative. Future directions include developing tools manipulating nanomaterials ensuring ethical unbiased collection models. This emphasizes importance coevolution technologies mutual reinforcement to advance scientific societal goals.

Язык: Английский

Процитировано

2

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

Aleksei V. Shchegolkov,

Vladimir V. Kaminskii

и другие.

Polymers, Год журнала: 2024, Номер 17(1), С. 71 - 71

Опубликована: Дек. 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.

Язык: Английский

Процитировано

1