Michigan Engineering | University of Michigan Highlights include Wired and Popular Science.
The post In the news: Michigan Engineering experts August 23-27 appeared first on Michigan Engineering News.
In the news: Michigan Engineering experts August 23-27
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Machine learning links material composition and performance in catalysts
Understanding how to design better catalysts could enable sustainable energy tech and make everyday chemicals more environmentally friendly.
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Strong magnetic fields change how friction works in plasma
Rather than just slowing down a charged particle moving through a plasma, friction can also push from the side in a strong magnetic field.
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Faster path planning for rubble-roving robots
Splitting the path into difficult and easy terrain speeds up path planning for robots that use “hands” to maintain balance on uneven ground.
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$20M NSF AI-EDGE Institute aims to transform 5G and beyond networks
U-M is a core member of a new NSF-led Institute that is a collaboration between 11 institutions, three government research labs, and four global companies.
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In the news: Michigan Engineering experts July 19-23
Highlights include the CBC and MLive.
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In the news: Michigan Engineering experts July 12-16
Highlights include The New York Times.
The post In the news: Michigan Engineering experts July 12-16 appeared first on Michigan Engineering News.
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The ocean is full of tiny plastic particles – we found a way to track them with satellites
In The Conversation, Chris Ruf explains how CYGNSS can find the source ocean microplastics and aid in future clean up.
The post The ocean is full of tiny plastic particles – we found a way to track them with satellites appeared first on Michigan Engineering News.
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Carbon fiber brain-implant electrodes show promise in animal study
Material and size designed to give electrodes a chance to operate in the body for years.
The post Carbon fiber brain-implant electrodes show promise in animal study appeared first on Michigan Engineering News.
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$7.5M MURI to make dynamic AI smarter and safer
Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.
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