Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (10)
- Clean Energy (20)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (3)
- Materials (34)
- Materials for Computing (6)
- National Security (2)
- Neutron Science (6)
- Nuclear Science and Technology (1)
- Supercomputing (10)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (17)
- (-) Biomedical (19)
- (-) Composites (11)
- (-) Materials Science (45)
- (-) Polymers (13)
- (-) Quantum Computing (5)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (15)
- Big Data (21)
- Bioenergy (32)
- Biology (38)
- Biotechnology (7)
- Buildings (27)
- Chemical Sciences (15)
- Clean Water (19)
- Climate Change (36)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- Grid (27)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (13)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Quantum Science (12)
- Security (7)
- Simulation (10)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
- Transportation (47)
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.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.
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.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
Raina Setzer knows the work she does matters. That’s because she’s already seen it from the other side. Setzer, a radiochemical processing technician in Oak Ridge National Laboratory’s Isotope Processing and Manufacturing Division, joined the lab in June 2023.