Filter News
Area of Research
- (-) Nuclear Science and Technology (39)
- (-) Supercomputing (69)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (75)
- Building Technologies (2)
- Clean Energy (122)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (11)
- Materials (87)
- Materials for Computing (15)
- National Security (17)
- Neutron Science (34)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) Bioenergy (9)
- (-) Biomedical (19)
- (-) Grid (5)
- (-) Nanotechnology (11)
- (-) Nuclear Energy (39)
- (-) Quantum Science (24)
- (-) Space Exploration (8)
- (-) Sustainable Energy (10)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (12)
- Artificial Intelligence (36)
- Big Data (19)
- Biology (11)
- 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)
- Fusion (9)
- High-Performance Computing (38)
- Isotopes (6)
- Machine Learning (14)
- Materials (15)
- Materials Science (19)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (5)
- National Security (8)
- Net Zero (1)
- Neutron Science (17)
- Partnerships (1)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Security (5)
- Simulation (14)
- Software (1)
- Summit (42)
- Transformational Challenge Reactor (3)
- Transportation (6)
Media Contacts
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.
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
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.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
For the third year in a row, the Quantum Science Center held its signature workforce development event: a comprehensive summer school for students and early-career scientists designed to facilitate conversations and hands-on activities related to
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.