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OSU, Ford study provides insight into more efficient use of Rhodium in TWC applications

Green Car Congress

A study by a team from The Ohio State University and Ford is providing insight into the deactivation mechanism of rhodium in three-way catalysts (TWC) for automotive emissions control. The study, which could enable more efficient usage of rhodium in TWCs, is published in the ACS journal Chemistry of Materials.

Insight 259
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Molecular movement insights hold potential for future nanotechnologies

Innovation News Network

In a new study, researchers from the University of Surrey and the Graz University of Technology have achieved a groundbreaking understanding of molecular movement. The post Molecular movement insights hold potential for future nanotechnologies appeared first on Innovation News Network.

Insight 59
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Arcola Energy to lead hydrogen road freight study in Scotland; green hydrogen refueling

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The project partners include NewCold, which will provide a deep-dive study on cold chain logistics; The Scottish Wholesale Association; St Andrews University; BOC; and Scottish Power. Scottish Power and BOC will provide insight into green hydrogen production, supply and refueling for the trial.

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Researchers develop map of lithium distribution and concentration across Australia

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A new study by a team from the University of Sydney and Geoscience Australia has mapped the concentration and distribution of lithium across Australian soil, providing crucial insights for identifying potential reserves in the country. An open-access paper on the work is published in the journal Earth System Science Data.

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CU Denver study finds ride-hailing increases vehicle miles traveled

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increase in the miles cars travel for ride-hailing passengers in Denver’s metro area, according to a study published this week in the journal Transportation by researchers at the University of Colorado Denver. For this study, the conservative (lower end) percentage of deadheading miles from ride-hailing is 40.8%. Marshall, W.E.

Denver 316
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Toyota Research Institute joins study of workforce impact from automated vehicles with $75K contribution

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ACM’s study, titled “Preparing the Workforce for Automated Vehicles,” is being conducted by Michigan State University in collaboration with Texas A&M Transportation Institute. The study is expected to be published later in 2018. Our participation in this study can help address the societal effects in a meaningful way.

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SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging

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It was the first time this approach—known as “scientific machine learning”—has been applied to battery cycling, said Will Chueh, an associate professor at Stanford University and investigator with the Department of Energy’s SLAC National Accelerator Laboratory who led the study.

MIT 236