Filter News
Area of Research
- (-) Neutron Science (47)
- (-) Supercomputing (99)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (37)
- Clean Energy (95)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (34)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (12)
- Materials (122)
- Materials for Computing (12)
- National Security (13)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
News Topics
- (-) Advanced Reactors (2)
- (-) Biomedical (25)
- (-) Energy Storage (14)
- (-) Frontier (29)
- (-) Nanotechnology (19)
- (-) Nuclear Energy (7)
- (-) Physics (16)
- (-) Space Exploration (5)
- (-) Summit (42)
- 3-D Printing/Advanced Manufacturing (10)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (7)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Fusion (2)
- Grid (5)
- High-Performance Computing (39)
- Isotopes (1)
- Machine Learning (16)
- Materials (28)
- Materials Science (33)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Partnerships (1)
- Polymers (3)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.