Browsing Division of Chemical Sciences by Subject "machine learning"
Now showing items 1-2 of 2
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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 ... -
Rational Design of Efficient Catalysts using First-Principles and Machine Learning
Rising concerns about the impending energy crisis and environmental impact have garnered tremendous research interest in developing catalysts for sustainable fuel production and pollution abatement. However, the traditional ...