Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (14)
- Clean Energy (38)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (18)
- Fusion Energy (4)
- Isotopes (7)
- Materials (34)
- Materials for Computing (6)
- National Security (29)
- Neutron Science (36)
- Nuclear Science and Technology (18)
- Quantum information Science (4)
- Supercomputing (33)
News Type
News Topics
- (-) Biomedical (29)
- (-) Grid (25)
- (-) Molten Salt (1)
- (-) Nanotechnology (16)
- (-) National Security (39)
- (-) Net Zero (8)
- (-) Neutron Science (47)
- (-) Nuclear Energy (55)
- (-) Quantum Science (30)
- (-) Space Exploration (12)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (8)
- Artificial Intelligence (48)
- Big Data (27)
- Bioenergy (51)
- Biology (60)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (25)
- Clean Water (14)
- Climate Change (50)
- Composites (8)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (4)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Environment (104)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (46)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Partnerships (18)
- Physics (29)
- Polymers (8)
- Quantum Computing (21)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Statistics (1)
- Summit (31)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
Media Contacts
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
ORNL hosted the Mid-South Regional Chapter of the American Society for Photogrammetry and Remote Sensing, or ASPRS. Participants spanning government, academia and industry engaged in talks, poster sessions, events and workshops to further scientific discovery in a field devoted to using pictures to understand changes to the earth’s inhabitants and landscape.
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
As a data scientist, Daniel Adams uses storytelling to parse through a large amount of information to determine which elements are most important, paring down the data to result in the most efficient and accurate data set possible.
SCALE users from 85 organizations across 21 countries gathered online and in person at Oak Ridge National Laboratory from June 5 to June 7 for the Eighth Annual SCALE Users Group Workshop. The meeting included 32 presentations and 14 hands-on tutorials on impactful and innovative applications of SCALE.
Andrew Conant from ORNL's nuclear nonproliferation division is collaborating with national laboratories to analyze isotopes generated in nuclear reactors. This research aims to glean insights into the operations and objectives of these reactors. ORNL, renowned for its leadership in nuclear research, maintains its legacy by promoting the peaceful utilization of nuclear energy worldwide.
Despite strong regulations and robust international safeguards, authorities routinely interdict nuclear materials outside of regulatory control. Researchers at ORNL are exploring a new method that would give authorities the ability to analyze intercepted nuclear material and determine where it originated.