Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (41)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (3)
- Materials (19)
- Materials for Computing (3)
- Mathematics (1)
- National Security (19)
- Neutron Science (11)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Sensors and Controls (2)
- Supercomputing (45)
News Type
News Topics
- (-) Artificial Intelligence (47)
- (-) Biomedical (28)
- (-) Cybersecurity (20)
- (-) Frontier (16)
- (-) Grid (36)
- (-) Mathematics (2)
- (-) Partnerships (30)
- (-) Quantum Computing (14)
- (-) Security (12)
- 3-D Printing/Advanced Manufacturing (76)
- Advanced Reactors (23)
- Big Data (24)
- Bioenergy (39)
- Biology (40)
- Biotechnology (11)
- Buildings (35)
- Chemical Sciences (43)
- Clean Water (15)
- Climate Change (46)
- Composites (20)
- Computer Science (100)
- Coronavirus (28)
- Critical Materials (23)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (74)
- Environment (81)
- Exascale Computing (11)
- Fossil Energy (2)
- Fusion (25)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (25)
- Materials (94)
- Materials Science (86)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (8)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Physics (28)
- Polymers (21)
- Quantum Science (37)
- Renewable Energy (1)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (61)
Media Contacts
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
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.
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.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory 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.