Category: Materials Science and Engineering
-
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.
-
Advanced microelectronics: Why a next-gen semiconductor doesn’t fall to pieces
The mechanism holding new ferroelectric semiconductors together produces a conductive pathway that could enable high power transistors.
-
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.
-
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.
-
Materials scientist and chemical engineer from U-M elected into the National Academy of Engineering
Michigan Engineering now includes 35 NAE members among its active and emeritus faculty.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.