Filter News
Area of Research
- (-) Supercomputing (17)
- Biology and Environment (18)
- Biology and Soft Matter (1)
- Clean Energy (9)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Isotopes (1)
- Materials (10)
- Materials for Computing (3)
- National Security (9)
- Neutron Science (2)
News Topics
- (-) Climate Change (3)
- (-) Computer Science (6)
- (-) Frontier (4)
- (-) High-Performance Computing (6)
- (-) Materials Science (5)
- (-) Summit (5)
- Artificial Intelligence (5)
- Big Data (2)
- Bioenergy (2)
- Biology (3)
- Biomedical (2)
- Buildings (2)
- Coronavirus (2)
- Decarbonization (2)
- Energy Storage (1)
- Environment (3)
- Exascale Computing (2)
- Grid (1)
- Machine Learning (3)
- Materials (6)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (1)
- Quantum Computing (5)
- Quantum Science (3)
- Security (1)
- Simulation (4)
- Space Exploration (1)
- Sustainable Energy (2)
Media Contacts
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
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 force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.