Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (22)
- Clean Energy (19)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (6)
- Isotopes (4)
- Materials (14)
- Materials for Computing (1)
- Mathematics (1)
- National Security (12)
- Neutron Science (6)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (18)
News Type
News Topics
- (-) Artificial Intelligence (25)
- (-) Climate Change (44)
- (-) Cybersecurity (15)
- (-) Frontier (7)
- (-) Nuclear Energy (48)
- (-) Space Exploration (11)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (20)
- Big Data (26)
- Bioenergy (38)
- Biology (45)
- Biomedical (23)
- Biotechnology (7)
- Buildings (34)
- Chemical Sciences (29)
- Clean Water (19)
- Composites (15)
- Computer Science (68)
- Coronavirus (21)
- Critical Materials (14)
- Decarbonization (27)
- Energy Storage (61)
- Environment (95)
- Exascale Computing (7)
- Fusion (24)
- Grid (31)
- High-Performance Computing (32)
- Hydropower (8)
- Irradiation (3)
- Isotopes (23)
- ITER (5)
- Machine Learning (17)
- Materials (75)
- Materials Science (65)
- Mathematics (5)
- Mercury (7)
- Microscopy (29)
- Molten Salt (6)
- Nanotechnology (30)
- National Security (25)
- Net Zero (4)
- Neutron Science (49)
- Partnerships (6)
- Physics (26)
- Polymers (19)
- Quantum Computing (7)
- Quantum Science (16)
- Security (10)
- Simulation (16)
- Software (1)
- Statistics (1)
- Summit (10)
- Sustainable Energy (67)
- Transformational Challenge Reactor (1)
- Transportation (58)
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.
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.
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.
ORNL has named W. David Pointer, director of the Nuclear Energy and Fuel Cycle Division in ORNL’s Fusion and Fission Energy and Science Directorate. As director, Pointer will lead a world-class team of ORNL research professionals focused on addressing the challenges and opportunities presented by current and future nuclear energy systems.
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.
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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.