Filter News
Area of Research
- (-) Supercomputing (52)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (48)
- Clean Energy (40)
- Computational Biology (1)
- Fusion and Fission (2)
- Fusion Energy (3)
- Isotopes (19)
- Materials (49)
- Materials for Computing (11)
- National Security (14)
- Neutron Science (15)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Transportation Systems (1)
News Type
News Topics
- (-) Bioenergy (3)
- (-) Cybersecurity (2)
- (-) Exascale Computing (15)
- (-) Isotopes (1)
- (-) Materials Science (9)
- (-) Summit (28)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (22)
- Big Data (18)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Frontier (15)
- Fusion (1)
- Grid (1)
- High-Performance Computing (25)
- Machine Learning (8)
- Materials (5)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Simulation (12)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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