Filter News
Area of Research
- (-) Nuclear Science and Technology (1)
- (-) Supercomputing (17)
- Biological Systems (1)
- Biology and Environment (31)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Climate and Environmental Systems (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (17)
- Materials for Computing (3)
- National Security (8)
- Neutron Science (7)
- Quantum information Science (2)
News Topics
- (-) Bioenergy (2)
- (-) Biomedical (6)
- (-) Cybersecurity (1)
- (-) Environment (3)
- (-) Materials Science (7)
- (-) Nanotechnology (4)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (4)
- Artificial Intelligence (10)
- Big Data (9)
- Biology (3)
- Buildings (1)
- Climate Change (3)
- Computer Science (29)
- Coronavirus (6)
- Decarbonization (1)
- Exascale Computing (4)
- Frontier (3)
- Fusion (6)
- Grid (1)
- High-Performance Computing (5)
- Isotopes (1)
- Machine Learning (4)
- Materials (4)
- Mathematics (1)
- Microscopy (1)
- National Security (1)
- Neutron Science (4)
- Nuclear Energy (14)
- Physics (2)
- Quantum Computing (5)
- Quantum Science (8)
- Simulation (3)
- Space Exploration (2)
- Summit (13)
- Sustainable Energy (1)
- Transformational Challenge Reactor (2)
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.
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.
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.
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.
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
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.