Category: Research
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Launching a time machine
Meet two of the Michigan Engineers behind the James Webb Space Telescope.
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‘Millennium’ solar car to race in U-M team’s first Australian winter
The team’s 18th car will be driving with less solar power than ever, but they are amped by a dream solar array system.
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Efficiency upgrade for OLED screens: A route to blue PHOLED longevity
Commercial devices currently settle for less efficient blue OLEDs, but a set of design innovations has made an efficient blue that is as durable as efficient green OLEDs.
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A rule-breaking, colorful silicone that could conduct electricity
Previously only thought to be insulating, a shift in the angle between silicon and oxygen atoms creates a highway for an electrical charge.
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Motion sickness technology could alleviate symptoms for passengers in today’s cars, and tomorrow’s
New technology offers hope for those who get carsick.
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Maneuverable underwater vehicles inspired by golf balls
A spherical prototype with nimble dimples can change its surface from smooth to dimpled, cutting through drag and generating lift.
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The US has a new most powerful laser
Hitting 2 petawatts, the NSF-funded ZEUS facility at U-M enables research that could improve medicine, national security, materials science and more.
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Leadership in networked and logic control systems
NAE profile: Dawn Tilbury, Robotics
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Careful heating unlocks unprecedented sensitivity to pressure in semiconductor materials
A simple and scalable annealing method boosts the quality of materials used in cell phones, sensors and energy harvesting devices.
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Off-road autonomy and digital twins: a Q&A with Bogdan Epureanu
Going beyond driving or tele-operating single vehicles, an up-to-date digital environment is needed to help humans operate fleets of autonomous vehicles.
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Synchrotron in a closet: Bringing powerful 3D X-ray microscopy to smaller labs
A new design makes a technique for studying metals, ceramics and rocks available in a standard laboratory, expanding access for students, academic researchers and industry
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AI isn’t just for computer science anymore: how engineers in every discipline are teaching it
Equipping engineers for a world with AI is more than prompt engineering—many will design neural networks, foundation models and more to help solve problems in their careers.