Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (2)
- Clean Energy (19)
- Computational Engineering (1)
- Computer Science (6)
- Fusion and Fission (4)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (16)
- National Security (9)
- Neutron Science (5)
- Nuclear Science and Technology (30)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (22)
News Topics
- (-) Artificial Intelligence (20)
- (-) Exascale Computing (6)
- (-) Grid (12)
- (-) Isotopes (9)
- (-) Machine Learning (13)
- (-) Nuclear Energy (52)
- (-) Security (5)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (21)
- Big Data (18)
- Bioenergy (23)
- Biology (5)
- Biomedical (26)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (7)
- Climate Change (10)
- Composites (3)
- Computer Science (76)
- Coronavirus (23)
- Critical Materials (7)
- Cybersecurity (9)
- Decarbonization (1)
- Energy Storage (29)
- Environment (51)
- Frontier (3)
- Fusion (20)
- High-Performance Computing (3)
- Materials (2)
- Materials Science (60)
- Mathematics (2)
- Mercury (4)
- Microscopy (13)
- Molten Salt (3)
- Nanotechnology (23)
- National Security (2)
- Neutron Science (49)
- Physics (19)
- Polymers (9)
- Quantum Science (24)
- Space Exploration (8)
- Summit (26)
- Sustainable Energy (32)
- Transformational Challenge Reactor (5)
- Transportation (27)
Media Contacts
As CASL ends and transitions to VERA Users Group, ORNL looks at the history of the program and its impact on the nuclear industry.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
Horizon31, LLC has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
After its long journey to Mars beginning this summer, NASA’s Perseverance rover will be powered across the planet’s surface in part by plutonium produced at the Department of Energy’s Oak Ridge National Laboratory.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
Lithium, the silvery metal that powers smart phones and helps treat bipolar disorders, could also play a significant role in the worldwide effort to harvest on Earth the safe, clean and virtually limitless fusion energy that powers the sun and stars.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.