Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...
The class of materials known as ceramic matrix composites, or CMCs, shows considerable promise for providing fracture-toughness values similar to those for metals such as cast iron. Two kinds of ...
Polymer matrix composites (PMCs) are made by reinforcing a polymer-based matrix with glass, carbon, or aramid fibers. PMCs are classified into thermosetting and thermoplastic resins based on the type ...
Composite matrix materials are engineered by combining two or more distinct substances to create a material with improved ...
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