Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (56)
- Building Technologies (2)
- Clean Energy (79)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (8)
- Energy Sciences (2)
- Fusion and Fission (1)
- Fusion Energy (1)
- Isotopes (1)
- Materials (12)
- Materials for Computing (2)
- Mathematics (1)
- National Security (9)
- Neutron Science (5)
- Supercomputing (18)
News Type
News Topics
- (-) Artificial Intelligence (17)
- (-) Big Data (22)
- (-) Bioenergy (32)
- (-) Climate Change (37)
- (-) Energy Storage (45)
- (-) Environment (80)
- (-) Frontier (4)
- (-) Machine Learning (15)
- (-) Mercury (7)
- (-) Security (7)
- (-) Simulation (11)
- (-) Summit (8)
- (-) Sustainable Energy (57)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (28)
- Chemical Sciences (18)
- Clean Water (19)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Exascale Computing (4)
- Fusion (16)
- Grid (27)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (33)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Space Exploration (10)
- Statistics (1)
- 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.
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.
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.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
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.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.