The application of machine learning in 3D/4D printed stimuli-responsive hydrogels

IF 15.9 1区化学 Q1 CHEMISTRY, PHYSICAL Advances in Colloid and Interface Science Pub Date : 2024-11-27 DOI:10.1016/j.cis.2024.103360

Onome Ejeromedoghene , Moses Kumi , Ephraim Akor , Zexin Zhang

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Abstract

The integration of machine learning (ML) in materials fabrication has seen significant advancements in recent scientific innovations, particularly in the realm of 3D/4D printing. ML algorithms are crucial in optimizing the selection, design, functionalization, and high-throughput manufacturing of materials. Meanwhile, 3D/4D printing with responsive material components has increased the vast design flexibility for printed hydrogel composite materials with stimuli responsiveness. This review focuses on the significant developments in using ML in 3D/4D printing to create hydrogel composites that respond to stimuli. It discusses the molecular designs, theoretical calculations, and simulations underpinning these materials and explores the prospects of such technologies and materials. This innovative technological advancement will offer new design and fabrication opportunities in biosensors, mechatronics, flexible electronics, wearable devices, and intelligent biomedical devices. It also provides advantages such as rapid prototyping, cost-effectiveness, and minimal material wastage.

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来源期刊

Advances in Colloid and Interface Science 化学-物理化学

CiteScore

28.50

自引率

2.60%

发文量

175

审稿时长

31 days

期刊介绍： "Advances in Colloid and Interface Science" is an international journal that focuses on experimental and theoretical developments in interfacial and colloidal phenomena. The journal covers a wide range of disciplines including biology, chemistry, physics, and technology. The journal accepts review articles on any topic within the scope of colloid and interface science. These articles should provide an in-depth analysis of the subject matter, offering a critical review of the current state of the field. The author's informed opinion on the topic should also be included. The manuscript should compare and contrast ideas found in the reviewed literature and address the limitations of these ideas. Typically, the articles published in this journal are written by recognized experts in the field.