Electrospun nanofibers have gained prominence as a versatile material, with applications
spanning tissue engineering, drug delivery, energy storage, filtration, sensors, and textiles …

The integration of Nanotechnology (NT) and Artificial Intelligence (AI) promises significant
benefits across industries like medicine, energy, and materials science. This study examines …

This study delves into how additive manufacturing has revolutionized the production of
polymers over the last three decades. Traditional polymer production finds it difficult to fulfill …

This research endeavors to comprehensively evaluate and compare the performance of
three prominent machine learning algorithms—Deep Learning (DL), Decision Trees (DT) …

Photocatalytic technology is extensively employed for the reductive removal of water
contaminants; however, it contends with low catalytic efficiency and challenges in catalyst …

Abstract 3D (Bio) printing is a highly effective method for fabricating tissue engineering
scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has …

This study reveals the influence of multivalent background ions, including Ca 2+, K+, Na+
and Mg 2+ on the adsorption capacity of natural mineral materials for azo dye molecules …

This paper reviews the current state of knowledge and advances on the stress-corrosion
cracking (SCC) of Ti alloys subject to harsh corrosive environments in the deep sea, and …

This review explores the synergistic relationship between MXenes and artificial intelligence
(AI), highlighting recent advancements in predicting and optimizing the properties, synthesis …

Materials informatics uses machine learning to predict the properties of new materials, but
generally requires extensive characterisation and feature extraction to describe the input …