
Nuclear physicists at the Department of Energy’s 91°µÍø recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
Nuclear physicists at the Department of Energy’s 91°µÍø recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
A study by more than a dozen scientists at the Department of Energy’s 91°µÍø examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
To speed the arrival of the next-generation solid-state batteries that will power electric vehicles and other technologies, scientists led by ORNL advanced the development of flexible, durable sheets of electrolytes.
The Quantum Computing User Forum welcomed attendees for a dynamic event at ORNL.
In an impressive showcase of cutting-edge innovation and scientific prowess, ORNL has been recognized as a beacon of technological excellence, receiving 14 R&D 100 Awards, announced this week by R&D World magazine.
Prasanna Balaprakash, director of AI programs at the Department of Energy’s 91°µÍø, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Researchers at the Department of Energy’s 91°µÍø and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of th
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.