Category: Advanced Materials
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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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Faster organic phosphorescence for better display tech
Layering an organic material on top of 2D materials achieves stable, fast phosphorescent light emission without using expensive and hazardous heavy metals.
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Battery-like computer memory keeps working above 1000°F
The material transports oxygen ions rather than electrons, creating heat-resistant voltages for both digital memory and in-memory computing.
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Burned rice hulls could help batteries store more charge
New research finds hard carbon in rice hull ash, providing a cheap, domestic source of the material that can replace graphite in lithium-ion or sodium-ion battery anodes.
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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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$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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This screen stores and displays encrypted images without electronics
It uses magnetic fields to display images at the same resolution as a squid’s color-changing skin.
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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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Morphable materials: Researchers coax nanoparticles to reconfigure themselves
It’s a step toward smart coatings that change color—or other properties—on the fly.
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First 3D visualization of an aluminum nanocomposite for the auto industry
The lightweight material could extend EV range or fuel efficiency once its microstructure is understood.
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OptoGPT for improving solar cells, smart windows, telescopes and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.