The field of industrial production is increasingly dependent on materials whose origins and behaviors are intricately tied to geological processes and ...
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...
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 ...
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 ...
Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...