Category: Transportation
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Engineering tough
Michigan engineering alum Linda Zhang has the daunting task of bringing America’s bestselling vehicle into the electric age.
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Avian secret: The key to agile bird flight is switching quickly between stable and unstable gliding
The finding could have implications for future agile autonomous aerial vehicles.
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1,000-cycle lithium-sulfur battery could quintuple electric vehicle ranges
The nanofibers recycled from Kevlar vests are harnessed in a biomimetic design to help solve a battery’s longevity problem.
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Q&A with Henry Liu, Mcity’s new director
University of Michigan’s mobility research center has been realigned under Michigan Engineering.
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Michigan Engineer appointed to Mobility Task Force by Michigan Governor Gretchen Whitmer
Eric Michielssen joins Council on Future Mobility and Electrification to advance the state’s future mobility ecosystem
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Mcity moving to College of Engineering, names new director
Two key players in advanced transportation and mobility research at the university are joining forces.
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Bipartisan infrastructure bill signed into law: Engineers weigh in
Two experts say the new law could correct historical infrastructure disparities.
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Resistance is not futile: Predicting how changes in production, materials impact EV battery life
As battery makers race to keep up with demand, a quick and inexpensive step can save money and time in development.
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Video: 100% renewable diesel cars can reduce carbon emissions while waiting for electric vehicles
Researchers estimate that there was an 80% carbon footprint reduction when using renewable hydrocarbon biofuels instead of traditional petroleum-sourced fuels
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In the news: Michigan Engineering experts August 23-27
Highlights include Wired and Popular Science.
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University of Michigan hosts students from MDOT Transportation Diversity Recruitment Program
Michigan Department of Transportation interns visit the University of Michigan to learn about graduate school programs.
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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.