Researchers at North Carolina State University have developed a computational model that helps users understand how changes in the nanostructure of materials affect their conductivity - with the goal of informing the development of new energy storage devices for a wide range of electronics.
The research team of Assistant Professor Masahiko Sato and Professor Yasushi Todo of the National Institutes of Natural Sciences National Institute for Fusion Science has succeeded using computer simulation in reproducing the high-pressure plasma confinement observed in the Large Helical Device.
Creaform, a worldwide leader in portable and automated 3D measurement solutions, today announced the release of the latest version of the MetraSCAN 3D® lineup, the company’s advanced optical CMM scanner designed specifically to perform metrology-grade 3D measurements and inspections — right on the production floor.
Five Michigan State University researchers from the Facility for Rare Isotope Beams and the Department of Statistics and Probability are participating in a new $3.7 million National Science Foundation project to advance nuclear physics experiments.
Sierra Instruments announces the release of its new breakthrough QuadraTherm® qMix RealTime Flare Measurement System (FMS).
The Measuring Division of Kaman Precision Products, Inc., the world leader in the design and manufacture of high-performance position measurement systems, announces that the KD-5600 family of eddy current measurement systems is ideal for use in COTS applications for fast steering mirrors, magnetic bearing active control, shaft vibration, image stabilization, and adaptive optics.
Ascend Performance Materials has introduced Acteev Protect™, a breakthrough technology specially formulated to guard against the growth of mildew, fungi and other microbes to keep textiles and nonwoven fabrics fresher for longer.
Tower block games such as Jenga can be used to explain to schoolchildren how lithium-ion batteries work, meeting an educational need to better understand a power source that has become vital to everyday life.
Researchers at the Nanoscience Center and at the Faculty of Information Technology at the University of Jyväskylä in Finland have demonstrated that new distance-based machine learning methods, developed in the University of Jyväskylä, are capable of predicting structures and atomic dynamics of nanoparticles reliably.
Magnesium is a promising material for use in structural materials because they are lightweight, have high-specific strength, and high-specific stiffness.
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