Filter News
Area of Research
- (-) National Security (6)
- (-) Supercomputing (21)
- Biology and Environment (29)
- Biology and Soft Matter (1)
- Clean Energy (16)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (2)
- Materials (17)
- Materials for Computing (2)
- Neutron Science (8)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
News Topics
- (-) Big Data (8)
- (-) Biomedical (5)
- (-) Environment (3)
- (-) Exascale Computing (3)
- (-) Materials Science (7)
- (-) Microscopy (1)
- (-) Nanotechnology (3)
- (-) Neutron Science (5)
- (-) Summit (9)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (8)
- Bioenergy (3)
- Biology (4)
- Biotechnology (1)
- Buildings (1)
- Climate Change (6)
- Computer Science (23)
- Coronavirus (7)
- Cybersecurity (3)
- Decarbonization (1)
- Frontier (3)
- Grid (3)
- High-Performance Computing (6)
- Machine Learning (6)
- Materials (4)
- Mathematics (1)
- National Security (7)
- Physics (1)
- Quantum Computing (5)
- Quantum Science (7)
- Security (4)
- Simulation (3)
- Sustainable Energy (1)
Media Contacts
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.
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.
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.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.