Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (22)
- Building Technologies (1)
- Clean Energy (27)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (10)
- Fusion and Fission (5)
- Fusion Energy (8)
- Isotopes (1)
- Materials (7)
- Materials for Computing (3)
- Mathematics (1)
- National Security (13)
- Neutron Science (3)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (3)
- Supercomputing (23)
News Type
News Topics
- (-) Advanced Reactors (15)
- (-) Artificial Intelligence (17)
- (-) Climate Change (37)
- (-) Computer Science (52)
- (-) Coronavirus (17)
- (-) Cybersecurity (9)
- (-) Exascale Computing (4)
- (-) Frontier (4)
- (-) Nuclear Energy (32)
- (-) Security (7)
- (-) Space Exploration (10)
- 3-D Printing/Advanced Manufacturing (43)
- Big Data (22)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (28)
- Chemical Sciences (17)
- Clean Water (19)
- Composites (11)
- Critical Materials (13)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Fusion (16)
- Grid (27)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (14)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Simulation (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
- Transportation (47)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
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.
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.
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.
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.
ORNL’s Assaf Anyamba has spent his career using satellite images to determine where extreme weather may lead to vector-borne disease outbreaks. His work has helped the U.S. government better prepare for outbreaks that happen during periods of extended weather events such as El Niño and La Niña, climate patterns in the Pacific Ocean that can affect weather worldwide.
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.
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.