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Emerging nanomaterials for novel wound dressings: From metallic nanoparticles and MXene nanosheets to metal-organic frameworks

Gholamreza Faghani, Amir Azarniya • Heliyon (2024)

The growing need for developing reliable and efficient wound dressings has led to recent progress in designing novel materials and formulations for different kinds of wounds caused by traumas, burns, surgeries, and diabetes. In cases of ext...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e39611

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