Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (4)
- Clean Energy (5)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (1)
- Fusion Energy (6)
- Materials (4)
- Mathematics (1)
- National Security (1)
- Neutron Science (2)
- Nuclear Science and Technology (4)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (2)
News Type
News Topics
- (-) Advanced Reactors (13)
- (-) Artificial Intelligence (14)
- (-) Clean Water (13)
- (-) Cybersecurity (3)
- (-) Physics (4)
- 3-D Printing/Advanced Manufacturing (31)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Climate Change (24)
- Composites (9)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Decarbonization (11)
- Energy Storage (31)
- Environment (45)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (9)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Machine Learning (12)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
- Transportation (36)
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.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
Scientists are using Oak Ridge National Laboratory’s Multicharged Ion Research Facility to simulate the cosmic origin of X-ray emissions resulting when highly charged ions collide with neutral atoms and molecules, such as helium and gaseous hydrogen.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.