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Tribological and flexural characterization of dissimilar AA2024-T3/AA6082-T6 friction stir welded joints

Paritosh Mishra, Brijesh Prasad, Sunil Chamoli, Ibrahim M. Alarifi • Journal of Materials Research and Technology (2026)

The escalating demand for lightweight, high-strength structures in the aerospace and automotive sectors necessitates robust joining technologies for dissimilar aluminium alloys. This study systematically investigates the effects of friction...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jmrt.2026.08.256

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports (2021)

Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-88027-8