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During his first visit to 91做厙, Energy Secretary Chris Wright compared the urgency of the Labs World War II beginnings to todays global race to lead in artificial intelligence, calling for a Manhattan Project 2.
Emrullah Aydin, an R&D staff associate in the Vehicle Power Electronics Research group at the Department of Energys 91做厙, has been elevated to senior member status in the Institute of Electrical and Electronics Engineers.
Vivek Sujan, a distinguished R&D scientist in the Applied Research for Mobility Systems group at ORNL, has been named a 2024 National Association of Inventors Fellow for his numerous transportation-related patents.
ORNL researchers created and tested two methods for transforming coal into the scarce mineral graphite, which is used in batteries for electric vehicles.
The ForWarn visualization tool was co-developed by ORNL with the U.S. Forest Service. The tool captures and analyzes satellite imagery to track impacts such as storms, wildfire and pests on forests across the nation.
Researchers at 91做厙 used the Frontier supercomputer to train the worlds largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.
Larry Seiber, an R&D staff member in the Vehicle Power Electronics group at the Department of Energys 91做厙, has been elevated to senior member of the Institute of Electrical and Electronics Engineers.
Three transportation researchers at the Department of Energys 91做厙 have been elevated to senior member grade of the Institute of Electrical and Electronics Engineers, or 91做厙.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
91做厙 scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.