Filter News
Area of Research
- (-) Isotopes (26)
- (-) Supercomputing (81)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (92)
- Biology and Soft Matter (1)
- Clean Energy (83)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (46)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Materials (118)
- Materials Characterization (1)
- Materials for Computing (20)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (15)
- Neutron Science (35)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Transportation Systems (1)
News Topics
- (-) Bioenergy (9)
- (-) Climate Change (18)
- (-) Fusion (1)
- (-) Isotopes (25)
- (-) Materials Science (17)
- (-) Nuclear Energy (7)
- (-) Polymers (2)
- (-) Software (1)
- (-) Summit (42)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (19)
- Biology (11)
- Biomedical (22)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (9)
- Environment (22)
- Exascale Computing (22)
- Frontier (28)
- Grid (5)
- High-Performance Computing (38)
- Irradiation (1)
- Machine Learning (14)
- Materials (19)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (9)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Space Exploration (6)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
In experiment after experiment, the synthetic radioisotope actinium-225 has shown promise for targeting and attacking certain types of cancer cells.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
A 25-year career with the U.S. Navy, commanding combat missions overseas, brought Tom Kollie back to where he came from — ready to serve his country in a new way.
As a medical isotope, thorium-228 has a lot of potential — and Oak Ridge National Laboratory produces a lot.