The Shear-Bond Descriptor and Universal Machine-Learning Potential Enable Large-Scale Discovery of Negative Thermal Expansion Materials
Abstract Negative thermal expansion (NTE) materials are crucial for mitigating thermal stresses and designing dimensionally stable components in advanced technologies, yet compounds exhibiting this anomalous behavior remain intrinsically rare. The discovery of novel NTE crystals has traditionally relied on serendipitou...