CDS&E/Collaborative Research: Physics-Informed Machine Learning for Tailoring the Multidirectional Mechanical Properties of Composite Materials
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This Computational and Data-Enabled Science and Engineering (CDS&E) collaborative research project will contribute to the progress of science and the advancement of national prosperity by developing a framework for the inverse design and fabrication of multiphase composite materials with tailored mechanical properties. Despite recent advances in…
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