Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (22)
- Building Technologies (2)
- Clean Energy (74)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (1)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (16)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (5)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (4)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (17)
- (-) Biotechnology (7)
- (-) Cybersecurity (9)
- (-) Grid (27)
- (-) Irradiation (2)
- (-) Microscopy (20)
- (-) Security (7)
- (-) Space Exploration (10)
- (-) Sustainable Energy (57)
- (-) Transportation (47)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Big Data (21)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Buildings (27)
- Chemical Sciences (17)
- Clean Water (19)
- Climate Change (36)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- High-Performance Computing (20)
- Hydropower (8)
- Isotopes (14)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Simulation (10)
- Statistics (1)
- Summit (8)
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.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
Alyssa Carrell started her science career studying the tallest inhabitants in the forest, but today is focused on some of its smallest — the microbial organisms that play an outsized role in plant health.
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.
Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience.
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.