Filter News
Area of Research
- (-) National Security (8)
- (-) Supercomputing (21)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (17)
- Clean Energy (56)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (6)
- Materials (29)
- Materials for Computing (5)
- Neutron Science (12)
- Nuclear Science and Technology (16)
- Quantum information Science (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Biomedical (7)
- (-) Grid (4)
- (-) Microscopy (2)
- (-) Nanotechnology (5)
- (-) Nuclear Energy (3)
- (-) Space Exploration (1)
- (-) Transportation (3)
- Artificial Intelligence (25)
- Big Data (15)
- Bioenergy (4)
- Biology (8)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (15)
- Computer Science (49)
- Coronavirus (8)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (1)
- Environment (16)
- Exascale Computing (12)
- Frontier (13)
- High-Performance Computing (22)
- Machine Learning (13)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Physics (3)
- Quantum Computing (10)
- Quantum Science (11)
- Security (6)
- Simulation (10)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
Media Contacts
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
Stephen Dahunsi’s desire to see more countries safely deploy nuclear energy is personal. Growing up in Nigeria, he routinely witnessed prolonged electricity blackouts as a result of unreliable energy supplies. It’s a problem he hopes future generations won’t have to experience.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences