What is the impact of plastic deformation on cytocompatibility of biodegradable Zn–Mg alloys?

Wojtas, Daniel; Trembecka-Wójciga, Klaudia; Gieleciak, Magdalena; Bigos, Agnieszka; Brudecki, Kamil; Przybysz-Gloc, Sylwia; Schirhagl, Romana; Mzyk, Aldona; Jarzębska, Anna

doi:10.1039/d4ma00098f

Mater. Adv.

2024

DOI: 10.1039/d4ma00098f

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What is the impact of plastic deformation on cytocompatibility of biodegradable Zn–Mg alloys?

Daniel Wojtas,

Klaudia Trembecka-Wójciga,

Magdalena Gieleciak

et al.

Abstract: T1 relaxometry revealed the impact of plastic deformation on the cytocompatibility of biodegradable Zn–Mg alloy, i.e., the elevated production of free radicals in endothelial cells, the phenomenon associated with stable material degradation.

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Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver

Davletshin,

Korznikova,

Kistanov

2024

J. Phys. Chem. Lett.

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Implementation of machine learning (ML) techniques in materials science often requires large data sets. However, a proper choice of features and regression methods allows the construction of accurate ML models able to work with a relatively small data set. In this work, an extensive, although still limited, experimental data set of corrosion-related properties of Zn-based alloys used in biomedicine was created. On the basis of this data set, a robust and accurate model was built to predict the corrosion behavior of Zn-based alloys. This work highlights the effectiveness of ML methods for assessing the corrosion behavior of Zn-based alloys, which can facilitate their application in bioimplants.

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Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver

Davletshin,

Korznikova,

Kistanov

2024

J. Phys. Chem. Lett.

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show abstract

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What is the impact of plastic deformation on cytocompatibility of biodegradable Zn–Mg alloys?

Abstract: T1 relaxometry revealed the impact of plastic deformation on the cytocompatibility of biodegradable Zn–Mg alloy, i.e., the elevated production of free radicals in endothelial cells, the phenomenon associated with stable material degradation.

Cited by 1 publication

References 48 publications

Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver

Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver

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