Category: Research
-
Memristor demonstrates use in fully analog hardware-based neural network
The crossbar array memristor made of bismuth selenide (Bi2Se3) sandwiched between gold and titanium electrodes is analog tunable, retention stable and regulator-free in circuit
-
US naval engineering workforce to be strengthened by new graduate fellowship program
It will establish a pipeline of professionals with hands-on experience in major shipyards and researching challenges relevant to naval ship design and production.
-
Model incorporates anisotropic conductivity to improve thin film devices
The new framework replaces approximations, accurately modeling current crowding and spreading resistance in 2D materials to improve high-performance semiconductor devices.
-
How to improve AI energy efficiency with open-source tools: Q&A with Mosharaf Chowdhury
Any company could use our tools to measure and optimize their AI models and reduce AI energy use.
-
Michigan first-responders train on drone technology and use with experts at U-M
Two-day training, in realistic scenarios at Mcity, provides certification credits and helps communities plan for drone use in emergencies.
-
Nanoscale hotspots in OLEDs may shorten their lifespans in phones, TVs
Concentrated rivers of current create flickering hotspots in conventional amorphous OLEDs, but crystalline designs may not have this problem.
-
U-Michigan aims to bridge the ‘valley of death’ for manufacturing tech
In this Q&A, Chinedum Okwudire, director of the new U-M Advanced Manufacturing Institute, discusses its unique approach to translational research.
-
Letting atomic simulations learn from phase diagrams
Ten times more efficient than previous methods, a new machine learning method builds a two-way connection between atomic simulation and experimental data.
-
A manual for efficient wave energy converter prototyping
An open-source, standardized methodology aims to streamline efforts to design small-scale wave energy converters, moving closer to harnessing offshore renewables.
-
New approach to qualifying nuclear reactor components rolling out
The method will be announced at the Electric Power Research Institute, March 10-11.
-
Exploring the fundamental limits of entangled quantum sensor networks
A new Michigan-led project aims to develop systems that reap the full benefit of quantum networks.
-
AI energy use: New tools show which model consumes the most power, and why
Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid.