Tag: Lurie Nanofabrication Facility
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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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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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U-M awarded up to $7.5M to bring heat-tolerant semiconductors from lab to fab
Open-source effort supports durable silicon carbide circuits that can operate at record high temperatures.
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Toward quantum for the real world: photonic team in running for center-level funding
A team led by the University of Michigan aims to bring the extraordinary accuracy of quantum laboratory measurements to real-world devices.
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Cancer management: Stent sensor can warn of blockages in the bile duct
New batteryless and wireless sensor tested in pigs.
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U-Michigan’s lead role in vital automotive semiconductor efforts
Through R&D, education, and international partnerships, Michigan Engineers are working to unleash the next wave of advancements in mobility.
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$15M for game theory with AI agents, quantum semiconductors for microelectronics and photonics
The DoD funds efforts to incorporate AI agents into game theory and develop microelectronics that can withstand a hot day on Venus or carry quantum information.
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Faster, more sensitive lung cancer detection from a blood draw
Capturing nanoscale ‘packages’ that cancer cells send out, twisting gold nanoparticles use light to distinguish healthy patients from lung cancer patients.
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In step toward solar fuels, durable artificial photosynthesis setup chains two carbons together
The system produces ethylene, an important ingredient of many plastics, with much higher efficiency, yield and longevity than competing systems.
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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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Remembering philanthropist Ann Lurie
Lurie, whose gifts enabled profound impacts at Michigan Engineering, died at the age of 79.
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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.