Filter News
Area of Research
- (-) Materials (31)
- (-) Supercomputing (30)
- Biological Systems (1)
- Biology and Environment (24)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (6)
- Materials for Computing (1)
- National Security (11)
- Neutron Science (10)
- Nuclear Science and Technology (16)
News Topics
- (-) Artificial Intelligence (21)
- (-) Biomedical (8)
- (-) Chemical Sciences (7)
- (-) Clean Water (2)
- (-) Grid (3)
- (-) Nuclear Energy (11)
- (-) Physics (13)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (3)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (7)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (2)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (21)
- Materials Science (20)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (14)
- Partnerships (3)
- Polymers (4)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
ORNL is leading two nuclear physics research projects within the Scientific Discovery through Advanced Computing, or SciDAC, program from the Department of Energy Office of Science.
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 hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Xiao-Ying Yu, a distinguished scientist in the Materials Science and Technology Division of the Department of Energy’s Oak Ridge National Laboratory, has recently been chosen for several prominent editorial roles.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
Few things carry the same aura of mystery as dark matter. The name itself radiates secrecy, suggesting something hidden in the shadows of the Universe.