Filter News
Area of Research
- (-) Biology and Environment (38)
- (-) Mathematics (1)
- Advanced Manufacturing (3)
- Building Technologies (1)
- Clean Energy (49)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (79)
- Materials for Computing (12)
- National Security (41)
- Neutron Science (28)
- Nuclear Science and Technology (13)
- Quantum information Science (8)
- Supercomputing (116)
News Topics
- (-) Artificial Intelligence (9)
- (-) Computer Science (20)
- (-) Cybersecurity (1)
- (-) Isotopes (2)
- (-) Machine Learning (9)
- (-) Microscopy (10)
- (-) Physics (2)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (1)
- Big Data (10)
- Bioenergy (45)
- Biology (73)
- Biomedical (16)
- Biotechnology (13)
- Buildings (2)
- Chemical Sciences (11)
- Clean Water (12)
- Climate Change (42)
- Composites (5)
- Coronavirus (13)
- Critical Materials (1)
- Decarbonization (19)
- Energy Storage (7)
- Environment (91)
- Exascale Computing (4)
- Frontier (3)
- Fusion (1)
- Grid (3)
- High-Performance Computing (20)
- Hydropower (8)
- Materials (12)
- Materials Science (6)
- Mathematics (5)
- Mercury (7)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (3)
- Net Zero (2)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (5)
- Polymers (2)
- Renewable Energy (1)
- Security (2)
- Simulation (15)
- Summit (10)
- Sustainable Energy (30)
- Transformational Challenge Reactor (1)
- Transportation (3)
Media Contacts
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
Jennifer Morrell-Falvey’s interest in visualizing the science behind natural processes was what drew her to ORNL in what she expected to be a short stint some 18 years ago.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.