Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

The special issue aims to bring together high-quality research that demonstrates the transformative role of Artificial Intelligence and Machine Learning ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Digital Image Correlation (DIC) has emerged as a vital non-contact optical technique for measuring full‐field surface displacements and strains. By comparing images acquired before and after ...