Filter News
Area of Research
- Advanced Manufacturing (14)
- Biology and Environment (21)
- Building Technologies (1)
- Clean Energy (63)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (6)
- Isotopes (14)
- Materials (61)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (9)
- Neutron Science (11)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (12)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (60)
- (-) Clean Water (19)
- (-) Cybersecurity (15)
- (-) Frontier (7)
- (-) Fusion (24)
- (-) Isotopes (20)
- (-) Materials Science (65)
- (-) Nanotechnology (30)
- Advanced Reactors (20)
- Artificial Intelligence (25)
- Big Data (24)
- Bioenergy (37)
- Biology (45)
- Biomedical (23)
- Biotechnology (7)
- Buildings (33)
- Chemical Sciences (27)
- Climate Change (42)
- Composites (15)
- Computer Science (68)
- Coronavirus (21)
- Critical Materials (14)
- Decarbonization (26)
- Energy Storage (61)
- Environment (94)
- Exascale Computing (7)
- Grid (30)
- High-Performance Computing (32)
- Hydropower (8)
- Irradiation (3)
- ITER (5)
- Machine Learning (17)
- Materials (75)
- Mathematics (5)
- Mercury (7)
- Microscopy (29)
- Molten Salt (6)
- National Security (25)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (48)
- Partnerships (6)
- Physics (26)
- Polymers (18)
- Quantum Computing (7)
- Quantum Science (16)
- Security (10)
- Simulation (15)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (10)
- Sustainable Energy (65)
- Transformational Challenge Reactor (1)
- Transportation (57)
Media Contacts
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.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
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.
Rigoberto “Gobet” Advincula, a scientist with joint appointments at ORNL and the University of Tennessee, has been named a Fellow of the American Institute for Medical and Biological Engineering.
The Society of Manufacturing Engineers has honored three Oak Ridge National Laboratory researchers with the 2024 SME Susan Smyth Outstanding Young Manufacturing Engineer Award.
Canan Karakaya, a R&D Staff member in the Chemical Process Scale-Up group at ORNL, was inspired to become a chemical engineer after she experienced a magical transformation that turned ammonia gas into ammonium nitrate, turning a liquid into white flakes gently floating through the air.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
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.