ORNL licenses revolutionary AI system to General Motors for automotive use miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
DOE partners with Youngstown State and ORNL to support battery manufacturing workforce
The US Department of Energy (DOE) is partnering with Youngstown State University and DOE’s Oak Ridge National Laboratory (ORNL) to advance workforce development for the battery manufacturing industry.
The $1-million project will assist in the development of an Energy Storage Workforce Innovation Center, which will serve as a training center based in the Midwest. The training center would support the battery and EV manufacturing industry in the North-East region of Ohio referred to as “Voltage Valley” due to the number of investments made in the area by the electric vehicle industry by helping supply a capable workforce.
E-Mail
IMAGE: The Argonne team of Sibendu Som, Muhsin Ameen and Saumil Patel won the Readers Choice Award for Best Use of HPC in Energy. view more
Credit: (Image by HPCwire.)
HPCwire magazine recognizes two Argonne teams for outstanding achievement in their use of high performance computing.
Two teams of scientists from the U.S. Department of Energy s (DOE) Argonne National Laboratory have won HPCwire Awards, recognizing their innovative use of high performance computing (HPC) to optimize engine design. The awards were presented by HPCwire magazine.
The Readers Choice Award for Best Use of HPC in Energy went to a group of Argonne scientists who used the laboratory s Theta supercomputer to run the largest-ever combustion engine flow simulation. The Readers Choice Award for Best Use of HPC in Industry went to an interdisciplinary team of scientists from Argonne, Aramco Research Center-Detroit and Convergent Science, who used Argonne s supercomputers to resolve
PNNL TranSEC tool uses UBER data to track and potentially alleviate urban traffic congestion
Researchers at Pacific Northwest National Laboratory (PNNL) have developed a new machine-learning-based tool to help urban transportation analysts relieve bottlenecks and chokepoints that routinely snarl city traffic. The tool Transportation State Estimation Capability (TranSEC) was developed to help urban traffic engineers get access to actionable information about traffic patterns in their cities.
Currently, publicly available traffic information at the street level is sparse and incomplete. Traffic engineers generally have relied on isolated traffic counts, collision statistics and speed data to determine roadway conditions. The new tool uses traffic datasets collected from UBER drivers and other publicly available traffic sensor data to map street-level traffic flow over time. It creates a big picture of city traffic using machine learning tools and the computing resources available at
Home > Press > New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries
Oak Ridge National Laboratory researchers have developed a new class of cobalt-free cathodes called NFA that are being investigated for making lithium-ion batteries for electric vehicles.
CREDIT
Andy Sproles/ORNL, U.S. Dept. of Energy
Abstract:
Oak Ridge National Laboratory researchers have developed a new family of cathodes with the potential to replace the costly cobalt-based cathodes typically found in today s lithium-ion batteries that power electric vehicles and consumer electronics.
New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries
Oak Ridge, TN | Posted on December 21st, 2020