Thermal properties of cemented carbides: Regression model offers predictions using reliable and readily measurable material characteristics

The accuracy of models for predicting thermal properties of cemented carbides has been limited by dependance on unreliable conductivity data or time-consuming grain size measurements. Two researchers at a Sweden-based tooling company formulated a regression model that offers fairly accurate predictions using only reliable and readily measurable material characteristics.

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New solid-state NMR strategy cracks open the ‘black box’ of crystal nucleation in glass

The process by which a crystal nucleates and grows within a glass during heat treatments remains a conceptually ill-understood phenomenon. Researchers in Brazil developed a nuclear magnetic resonance strategy combined with atomistic computer simulations that allowed them to shed unprecedented light on the structural changes that take place in a glass during relaxation and crystal nucleation.

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Low-carbon cement technology heading from lab to market

The recent one-year anniversary of the National Science Foundation’s Directorate for Technology, Innovation, and Partnerships is a reminder of the federal government’s commitment to take a larger role in supporting the transition of use-inspired research from the lab to the marketplace. Ideally this support will allow more university researchers to follow in the footsteps of Sublime Systems, a spinout from the Massachusetts Institute of Technology that aims to commercialize a low-carbon cement technology.

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Finding trees within the forest: Deep learning network detects individual carbon nanotubes in SEM images

For researchers to improve the properties of carbon nanotubes grown en masse, they must first be able to measure and characterize how individual nanotubes are assembled within carbon nanotube “forests.” In a recent paper, researchers at the University of Missouri outlined a deep learning technique to segment these forests in scanning electron microscopy images.

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