Filter News
Area of Research
- Advanced Manufacturing (9)
- Biological Systems (2)
- Biology and Environment (73)
- Building Technologies (2)
- Clean Energy (107)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (74)
- Materials for Computing (8)
- National Security (22)
- Neutron Science (26)
- Nuclear Science and Technology (38)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (87)
News Topics
- (-) Bioenergy (92)
- (-) Composites (30)
- (-) Frontier (45)
- (-) Nuclear Energy (111)
- (-) Physics (64)
- (-) Security (25)
- (-) Summit (59)
- (-) Sustainable Energy (130)
- 3-D Printing/Advanced Manufacturing (128)
- Advanced Reactors (34)
- Artificial Intelligence (101)
- Big Data (60)
- Biology (101)
- Biomedical (61)
- Biotechnology (24)
- Buildings (67)
- Chemical Sciences (73)
- Clean Water (31)
- Climate Change (105)
- Computer Science (198)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (200)
- Exascale Computing (42)
- Fossil Energy (6)
- Fusion (58)
- Grid (66)
- High-Performance Computing (93)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Machine Learning (50)
- Materials (147)
- Materials Science (146)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (72)
- Net Zero (14)
- Neutron Science (137)
- Partnerships (51)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (72)
- Renewable Energy (2)
- Simulation (51)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Transformational Challenge Reactor (7)
- Transportation (99)
Media Contacts
In May, the Department of Energy’s Oak Ridge and Brookhaven national laboratories co-hosted the 15th annual International Particle Accelerator Conference, or IPAC, at the Music City Center in Nashville, Tennessee.
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
Erin Webb, lead for the Bioresources Science and Engineering group at Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Agricultural and Biological Engineers — the society’s highest honor.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
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.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.