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Media Contacts
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory recently completed an eight-week pilot commercialization coaching program as part of Safari, a program funded by DOE’s Office of Technology Transitions, or OTT, Practices to Accelerate the Commercialization of Technologies, or PACT.
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
The National Security Sciences Directorate within the Department of Energy’s Oak Ridge National Laboratory has signed a memoranda of understanding with Jackson State University and with Tennessee Tech University. The MOUs detail ORNL’s intention to work with each university to enhance research and educational opportunities in nuclear science and engineering.
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 Oak Ridge National Laboratory 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 the U.S. power grid.
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.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.