Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

xMODEL15 is an economical modeling material that yields superb speed, productivity, and great surface finish quality. Those looking for next level finishes will be glad to know that the xMODEL15 is ...

Abstract: Elastomers and polymers such as silicone and Kapton have a wide range of applications across engineering disciplines, including structural components and thermal shields in space structures.

(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...

Scientists have used machine learning tools to create the first atomic-level model that accurately predicts the thermal properties of stanene, a 2-D material made up of a one-atom-thick sheet of tin.

British biochemist Professor Frederick Sanger was awarded his second Nobel Prize for Chemistry in 1980. He is only the third person to win Nobel Prizes for science in the history of he awards and ...

Each year, the effects of corroding materials sap more than $1 trillion from the global economy. As certain alloys are exposed to extreme stress and temperatures, an oxide film begins to form, causing ...