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Intelligent Degradation Design of Biomedical Rare Earth Magnesium Alloys

Project description

Smart biomedical Mg alloy solution featuring controlled degradation rates

Magnesium (Mg) alloys have excellent mechanical properties and biocompatibility, making them candidates for medical applications, particularly as alternatives to traditional implants. Their ability to degrade in sync with the body’s healing process eliminates the need for secondary surgery. However, their clinical potential is limited by corrosion in chloride-rich environments, which can pose risks to patients. Supported by the Marie Skłodowska-Curie Actions programme, the DREAM project is developing intelligent biomedical Mg alloys with controlled degradation rates. It will integrate cutting-edge techniques, including convolutional neural networks, advanced Mg alloy research, pH-responsive materials, and density functional theory calculations, to enhance our understanding of Mg-Zn-Ca-RE alloy corrosion and improve their performance in medical settings.

Objective

Magnesium (Mg) alloys, with their excellent mechanical properties, outstanding biocompatibility, and gradual degradation within the body, are demonstrating vast potential for applications in the medical field. Their greatest advantage lies in their ability to degrade in sync with the bodys healing process, eliminating the need for a second surgery to remove traditional implants. However, in chloride-rich physiological environments, Mg alloy implants are prone to rapid corrosion, leading to early failure and posing risks to patient health. To address this challenge, the DREAM project integrates cutting-edge research on Mg alloys, convolutional neural networks (CNNs), density functional theory (DFT) calculations, and pH-responsive materials, with the goal of developing intelligent biomedical Mg alloys with controlled degradation rates. First, the project will establish a comprehensive database of Mg-Zn-Ca-RE (rare earth) alloy corrosion and mechanical properties to support the accurate prediction of alloy performance using CNN models. By incorporating DFT calculations, the project will gain deeper insights into the corrosion and mechanical behaviours of Mg alloys, further enhancing the prediction accuracy of the CNN models. Ultimately, the optimized alloys will be combined with pH-responsive materials to achieve intelligent degradation control, ensuring the degradation rate aligns with the bodys healing process. Through this innovation, Mg alloys are expected to see a 30-40% improvement in corrosion resistance, a 50% reduction in experimental time, and a significant decrease in harmful waste production. The DREAM project will play a crucial role in the advancement of green medical technologies while driving innovation in biomedical materials.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITY OF SOUTHAMPTON
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 276 187,92
Address
Highfield
SO17 1BJ SOUTHAMPTON
United Kingdom

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Region
South East (England) Hampshire and Isle of Wight Southampton
Activity type
Higher or Secondary Education Establishments
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Total cost

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