Filter News
Area of Research
- (-) Advanced Manufacturing (6)
- (-) Biological Systems (2)
- (-) Nuclear Science and Technology (41)
- (-) Supercomputing (38)
- Biology and Environment (58)
- Clean Energy (58)
- Computational Engineering (1)
- Computer Science (4)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (43)
- Fusion Energy (16)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (63)
- Materials for Computing (6)
- National Security (13)
- Neutron Science (15)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
News Topics
- (-) Advanced Reactors (13)
- (-) Big Data (19)
- (-) Bioenergy (11)
- (-) Composites (3)
- (-) Fusion (10)
- (-) Microscopy (7)
- (-) Molten Salt (5)
- (-) Nuclear Energy (40)
- 3-D Printing/Advanced Manufacturing (28)
- Artificial Intelligence (37)
- Biology (11)
- Biomedical (20)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (96)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (5)
- Energy Storage (8)
- Environment (22)
- Exascale Computing (22)
- Frontier (28)
- Grid (5)
- High-Performance Computing (38)
- Isotopes (6)
- Machine Learning (15)
- Materials (21)
- Materials Science (24)
- Mathematics (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (19)
- Partnerships (1)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Software (1)
- Space Exploration (9)
- Summit (42)
- Sustainable Energy (14)
- Transformational Challenge Reactor (4)
- Transportation (6)
Media Contacts
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
ORNL’s Luiz Leal of the Department of Energy’s Oak Ridge National Laboratory is the recipient of the 2023 Seaborg Medal from the American Nuclear Society.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Oak Ridge National Laboratory scientists identified a gene “hotspot” in the poplar tree that triggers dramatically increased root growth. The discovery supports development of better bioenergy crops and other plants that can thrive in difficult conditions while storing more carbon belowground.
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.
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.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
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.