Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (18)
- Clean Energy (41)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (10)
- Fusion Energy (3)
- Isotopes (7)
- Materials (38)
- Materials for Computing (6)
- National Security (14)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (39)
News Type
News Topics
- (-) Artificial Intelligence (34)
- (-) Chemical Sciences (32)
- (-) Computer Science (61)
- (-) Fusion (17)
- (-) Isotopes (18)
- (-) Sustainable Energy (30)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biomedical (17)
- Biotechnology (8)
- Buildings (15)
- Clean Water (2)
- Climate Change (22)
- Composites (11)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Grid (16)
- High-Performance Computing (30)
- ITER (2)
- Machine Learning (13)
- Materials (60)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (51)
- Nuclear Energy (27)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (11)
- Quantum Science (28)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have found a chemical “chameleon” that could improve the process used to purify rare-earth metals used in clean energy, medical and national security applications.
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.
ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.
Researchers for the first time documented the specific chemistry dynamics and structure of high-temperature liquid uranium trichloride salt, a potential nuclear fuel source for next-generation reactors.
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.
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. They used a polymer to create a strong yet springy thin film that binds electrolytic particles and at least doubles energy storage.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
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.