Lawrence Livermore National Laboratory (LLNL) scientists have developed a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials. In a new study in ...

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists from Tokyo Tech. Their ML-based ...

Before any medical materials testing program can begin in earnest, there must be a well-conceived plan for understanding the composition of a medical device material and its potential for an adverse ...

Electrical resistivity is a basic property that quantifies a material’s opposition to current flow—it’s the reciprocal of conductivity. The resistivity of a material depends upon several factors, ...

Traditionally, analyzing materials involved techniques tailored for specific scales, which made integrating data from these different methods quite challenging. However, recent advancements in ...