Filter News
Area of Research
- (-) Supercomputing (58)
- Advanced Manufacturing (1)
- Biology and Environment (26)
- Clean Energy (24)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (3)
- Materials (35)
- Materials for Computing (10)
- Mathematics (1)
- National Security (10)
- Neutron Science (12)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
News Type
News Topics
- (-) Artificial Intelligence (22)
- (-) Mathematics (1)
- (-) Microscopy (2)
- (-) Nanotechnology (6)
- (-) Polymers (2)
- (-) Simulation (11)
- (-) Space Exploration (2)
- (-) Summit (27)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- Grid (1)
- High-Performance Computing (23)
- Machine Learning (8)
- Materials (5)
- Materials Science (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (3)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Software (1)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
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 team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.