Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...
A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
Hosted on MSN
AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel for 3D printing.
Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...
Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results