Filter News
Area of Research
- (-) Supercomputing (17)
- Advanced Manufacturing (2)
- Biology and Environment (13)
- Clean Energy (28)
- Computational Biology (1)
- Fusion and Fission (18)
- Fusion Energy (4)
- Isotopes (16)
- Materials (33)
- Materials for Computing (5)
- National Security (13)
- Neutron Science (35)
- Nuclear Science and Technology (17)
- Quantum information Science (1)
News Topics
- (-) Buildings (2)
- (-) Cybersecurity (2)
- (-) Mathematics (1)
- (-) Nanotechnology (5)
- (-) Neutron Science (6)
- (-) Nuclear Energy (2)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (21)
- Big Data (13)
- Bioenergy (3)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Decarbonization (3)
- Energy Storage (1)
- Environment (13)
- Exascale Computing (12)
- Frontier (13)
- Grid (1)
- High-Performance Computing (20)
- Machine Learning (7)
- Materials (4)
- Materials Science (8)
- Microscopy (2)
- National Security (3)
- Net Zero (1)
- Physics (3)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (10)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
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.
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 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.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.