A review of artificial intelligence (AI)-based applications to nanocomposites

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing Pub Date : 2025-05-17 DOI:10.1016/j.compositesa.2025.109027

Krishna Prasath Logakannan , Ibrahim Guven , Gregory Odegard , Kan Wang , Chuck Zhang , Zhiyong Liang , Ashley Spear

引用次数: 0

Abstract

Recent progress in artificial intelligence (AI) techniques has attracted interest from researchers in various engineering fields, including materials science and engineering. AI has enabled materials researchers to explore vast materials design spaces, which were previously inaccessible due to the inherent limitations of conventional techniques (viz., experiments and physics-based computational models). This is particularly true for the design of nanocomposites because of the many degrees of freedom associated with both material composition and manufacturing parameters. The primary motivation of this review is to report how AI techniques are being used in nanocomposite materials design, with special attention given to the manufacturing and property prediction of nanocomposites using AI techniques.

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人工智能在纳米复合材料中的应用综述

人工智能（AI）技术的最新进展引起了包括材料科学和工程在内的各个工程领域研究人员的兴趣。人工智能使材料研究人员能够探索广阔的材料设计空间，这是以前由于传统技术（即实验和基于物理的计算模型）的固有限制而无法进入的。纳米复合材料的设计尤其如此，因为材料组成和制造参数有许多自由度。本综述的主要目的是报告人工智能技术如何应用于纳米复合材料设计，特别关注使用人工智能技术的纳米复合材料的制造和性能预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Composites Part A: Applied Science and Manufacturing 工程技术-材料科学：复合

CiteScore

15.20

自引率

5.70%

发文量

492

审稿时长

30 days

期刊介绍： Composites Part A: Applied Science and Manufacturing is a comprehensive journal that publishes original research papers, review articles, case studies, short communications, and letters covering various aspects of composite materials science and technology. This includes fibrous and particulate reinforcements in polymeric, metallic, and ceramic matrices, as well as 'natural' composites like wood and biological materials. The journal addresses topics such as properties, design, and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advancements in fabrication and processing, manufacturing science, process modeling, experimental mechanics, microstructural characterization, interfaces, prediction and measurement of mechanical, physical, and chemical behavior, and performance in service. Additionally, articles on economic and commercial aspects, design, and case studies are welcomed. All submissions undergo rigorous peer review to ensure they contribute significantly and innovatively, maintaining high standards for content and presentation. The editorial team aims to expedite the review process for prompt publication.