Browsing Materials Research Centre (MRC) by Subject "Deep learning"
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Investigation of machine learning and deep learning methodologies for applications in biomechanics, additive manufacturing, and microstructure fingerprinting: A Biomaterialomics approach
Traditional approaches to developing biomaterials and implants require intuitive tuning of process variables, long innovation cycle, and high costs. Accelerating the production of personalized, implantable biomaterials and ...