Workflow behind the MPT model. In this approach, the model learns from various material properties simultaneously in an initial training phase, followed by fine-tuning on the target property data.

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Almonty Announces Filing of Updated NI 43-101 Technical Report for the Sangdong Mine and the Re-classification of its Material Mineral Properties Almonty Industries Inc. (“Almonty” or the “Company”) ...

Researchers have developed a machine learning model to predict never-before-determined material properties from energy loss near-edge structure (ELNES) and X-ray near-edge structure (XANES) spectra.

Compared to metals such as aluminum and steel, the number of stiffness and strength properties associated with polymer matrix composites (PMCs) is extensive. For metals, these mechanical properties ...

Mechanical testing is a way of testing and measuring the properties of materials. Machines/instruments are available to test materials or finished products in a range of different ways including ...