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Remote repairs: $10.3M to discover metal 3D-printed part longevity
3D-printing metal parts could save weeks of downtime, but DARPA wants a way to certify how long they’ll last.
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Amidst uncertainty, experts at U-M’s EV Center Symposium say continued innovation is key
Wider acceptance of EVs may have stalled, but addressing concerns like range and charging will provide the flexibility needed to compete with combustion engines.
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Fire-monitoring satellite aims to transform wildfire detection and response
Remote-sensing technology originally designed for hurricane forecasting at the University of Michigan inspires tools to help fight wildfires from space.
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Charging electric vehicles 5x faster in subfreezing temps
A stabilizing coating on an electrode, combined with microscale channels, helps solve the trade-off between range and charging speed, even in cold temperatures.
Related stories: Materials Science and Engineering, Mechanical Engineering, Research, Transportation -
US shipbuilding needs rescuing: U-M programs offer a life preserver
Michigan works with local and international partners to re-establish the U.S. as a strong, shipbuilding nation.
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Mark Daskin and Mark Guzdial named AAAS Fellows
Fellowship in the AAAS is one of the highest honors accorded to US researchers.
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Brain-like computer steers rolling robot with 0.25% of the power needed by conventional controllers
Analog computing is making a comeback with hardware that processes and stores information in the same location, similar to biological neurons.
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Using artificial intelligence to help students learn about socially engaged design
While nuclear power can reap enormous benefits, it also comes with some risks.
Related stories: Nuclear Engineering & Radiological Sciences -
Hands-on reactor research experience for students
Collaboration with Ohio State strengthens ties between institutions working to bolster U.S. nuclear expertise
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AI symposium: Michigan Engineering speakers share how they use AI in research
In addition to making predictions and scientific discoveries, engineers at the MIDAS symposium discussed improving AI’s interpretability and preventing misuse.