Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (6)
- Clean Energy (48)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (6)
- Isotopes (2)
- Materials (20)
- Materials for Computing (3)
- National Security (2)
- Neutron Science (24)
- Nuclear Science and Technology (6)
- Supercomputing (7)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (14)
- (-) Biomedical (11)
- (-) Composites (9)
- (-) Energy Storage (31)
- (-) Fusion (9)
- (-) Machine Learning (12)
- (-) Molten Salt (5)
- (-) Neutron Science (27)
- (-) Security (1)
- (-) Transportation (36)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (24)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (11)
- Environment (45)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
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.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
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.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
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.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.
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.