Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (50)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Fusion Energy (3)
- Isotopes (11)
- Materials (30)
- Materials for Computing (3)
- National Security (13)
- Neutron Science (52)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (41)
News Topics
- (-) Advanced Reactors (17)
- (-) Artificial Intelligence (35)
- (-) Exascale Computing (19)
- (-) Grid (23)
- (-) Isotopes (19)
- (-) Neutron Science (64)
- (-) Transportation (35)
- 3-D Printing/Advanced Manufacturing (49)
- Big Data (23)
- Bioenergy (36)
- Biology (35)
- Biomedical (28)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (29)
- Clean Water (7)
- Climate Change (41)
- Composites (8)
- Computer Science (68)
- Coronavirus (27)
- Critical Materials (8)
- Cybersecurity (15)
- Decarbonization (31)
- Education (3)
- Emergency (1)
- Energy Storage (43)
- Environment (76)
- Fossil Energy (2)
- Frontier (20)
- Fusion (23)
- High-Performance Computing (36)
- Hydropower (3)
- Irradiation (2)
- Machine Learning (23)
- Materials (61)
- Materials Science (55)
- Mathematics (4)
- Mercury (4)
- Microelectronics (2)
- Microscopy (16)
- Molten Salt (3)
- Nanotechnology (24)
- National Security (23)
- Net Zero (5)
- Nuclear Energy (52)
- Partnerships (24)
- Physics (29)
- Polymers (11)
- Quantum Computing (12)
- Quantum Science (23)
- Renewable Energy (2)
- Security (6)
- Simulation (29)
- Software (1)
- Space Exploration (6)
- Summit (26)
- Sustainable Energy (41)
- Transformational Challenge Reactor (5)
Media Contacts
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
Oak Ridge National Laboratory researchers have identified the most energy-efficient 2024 model year vehicles available in the United States, including electric and hybrids, in the latest edition of the Department of Energy’s
A team of researchers from the University of Southern California, the Renaissance Computing Institute at the University of North Carolina, and Oak Ridge, Lawrence Berkeley and Argonne National Laboratories have received a grant from the U.S. Department of Energy to develop the fundamentals of a computational platform that is fault tolerant, robust to various environmental conditions and adaptive to workloads and resource availability.
Despite its futuristic essence, artificial intelligence has a history that can be traced through several decades, and the ORNL has played a major role. From helping to drive fundamental and applied AI research from the field’s early days focused on expert systems, computer programs that rely on AI, to more recent developments in deep learning, a form of AI that enables machines to make evidence-based decisions, the lab’s AI research spans the spectrum.
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.
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.