Category: Materials Science and Engineering
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Solving a memristor mystery to develop efficient, long-lasting memory devices
Newly discovered role of phase separation can help develop memory devices for energy-efficient AI computing.
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U-M engineers to partner in new DOE-backed research hub for clean energy storage
Researchers will advance battery technologies going beyond current lithium ion capabilities.
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AI chips could get a sense of time
Timekeeping in the brain is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogues of neurons—can do that too.
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Better battery manufacturing: Robotic lab vets new reaction design strategy
Mixing unconventional ingredients in just the right order can make complex materials with fewer impurities. The robotic lab that tested the idea could be widely adopted.
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Beating the freeze: Up to $11.5M for eco-friendly control over ice and snow
Taking a page from nature’s book could allow humans to mitigate subzero temperatures without harming the environment
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Squishy, metal-free magnets to power robots and guide medical implants
Strong enough to move soft robots and medical capsules, weak enough to not ruin MRI images.
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Bulky additives could make cheaper solar cells last longer
The findings could help engineers methodically find the best molecules to increase the lifespan of perovskite solar cells, rather than relying on time-consuming trial and error.
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Blue PHOLEDs: Final color of efficient OLEDs finally viable in lighting
Synchronizing light and matter adds blue to the OLED color palette
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200-year-old geology mystery resolved
To build mountains from dolomite, a common mineral, it must periodically dissolve. This counter-intuitive lesson could help make new defect-free semiconductors and more.
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Green chemistry award: Professor recognized for sustainable silicon metal production method
Richard Laine is the academic category winner in a national EPA contest.
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Material simulation with quantum accuracy wins Gordon Bell Prize
The prestigious award offered by the Association for Computing Machinery goes to the team of U-M mechanical engineering professor Vikram Gavini.
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$3M to boost state-of-the-art solar manufacturing
An effort led by U-M could enable industrial competitors to collectively build a predictive model that speeds the development of advanced solar cells.