Filter News
Area of Research
- (-) Neutron Science (11)
- (-) Supercomputing (37)
- Advanced Manufacturing (1)
- Biology and Environment (48)
- Biology and Soft Matter (1)
- Clean Energy (40)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (28)
- Fusion Energy (6)
- Isotopes (3)
- Materials (28)
- Materials for Computing (5)
- National Security (18)
- Nuclear Science and Technology (16)
- Quantum information Science (4)
News Topics
- (-) Clean Water (2)
- (-) Climate Change (12)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Materials Science (13)
- (-) Nuclear Energy (3)
- (-) Quantum Science (10)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biomedical (10)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Materials (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (35)
- Physics (4)
- Polymers (1)
- Quantum Computing (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transportation (4)
Media Contacts
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.