Filter News
Area of Research
- (-) Supercomputing (30)
- Advanced Manufacturing (5)
- Biology and Environment (16)
- Clean Energy (53)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (3)
- Isotopes (1)
- Materials (53)
- Materials for Computing (6)
- National Security (11)
- Neutron Science (13)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Big Data (11)
- (-) Critical Materials (1)
- (-) Grid (4)
- (-) Materials Science (12)
- (-) Microscopy (4)
- Artificial Intelligence (12)
- Bioenergy (5)
- Biology (6)
- Biomedical (12)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (5)
- Computer Science (39)
- Coronavirus (11)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (4)
- Environment (7)
- Exascale Computing (8)
- Frontier (8)
- Fusion (1)
- High-Performance Computing (10)
- Isotopes (1)
- Machine Learning (9)
- Materials (10)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (4)
- Neutron Science (9)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (3)
- Polymers (1)
- Quantum Computing (7)
- Quantum Science (12)
- Security (2)
- Simulation (5)
- Space Exploration (1)
- Summit (20)
- Sustainable Energy (6)
- Transportation (2)
Media Contacts
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
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.
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.
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.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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 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.
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.