Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Big Data (5)
- (-) Clean Water (5)
- (-) Machine Learning (4)
- (-) Nanotechnology (2)
- (-) Quantum Science (2)
- (-) Simulation (4)
- Advanced Reactors (1)
- Artificial Intelligence (5)
- Bioenergy (4)
- Biology (5)
- Biomedical (2)
- Buildings (10)
- Chemical Sciences (2)
- Climate Change (7)
- Composites (3)
- Computer Science (4)
- Coronavirus (4)
- Critical Materials (4)
- Decarbonization (3)
- Energy Storage (9)
- Environment (8)
- Exascale Computing (1)
- Grid (4)
- High-Performance Computing (6)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- ITER (1)
- Materials (13)
- Materials Science (5)
- Microscopy (3)
- National Security (3)
- Neutron Science (3)
- Partnerships (1)
- Physics (1)
- Polymers (1)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (8)
- Transportation (4)
Media Contacts
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.
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.
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Researchers at Oak Ridge National Laboratory have empirically quantified the shifts in routine daytime activities, such as getting a morning coffee or takeaway dinner, following safer at home orders during the early days of the COVID-19 pandemic.