Filter News
Area of Research
- (-) Materials (80)
- (-) Supercomputing (71)
- Advanced Manufacturing (3)
- Biology and Environment (43)
- Clean Energy (107)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (12)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials for Computing (11)
- Mathematics (1)
- National Security (39)
- Neutron Science (24)
- Nuclear Science and Technology (12)
- Quantum information Science (4)
- Sensors and Controls (1)
News Topics
- (-) Clean Water (3)
- (-) Cybersecurity (8)
- (-) Energy Storage (37)
- (-) Isotopes (13)
- (-) ITER (1)
- (-) Machine Learning (14)
- (-) Microscopy (29)
- (-) Security (6)
- (-) Space Exploration (5)
- (-) Summit (42)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (5)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (14)
- Biomedical (22)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Climate Change (21)
- Composites (9)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (15)
- Decarbonization (11)
- Environment (34)
- Exascale Computing (22)
- Frontier (28)
- Fusion (8)
- Grid (9)
- High-Performance Computing (40)
- Irradiation (1)
- Materials (79)
- Materials Science (83)
- Mathematics (1)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (42)
- Nuclear Energy (20)
- Partnerships (11)
- Physics (34)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Simulation (14)
- Software (1)
- Sustainable Energy (19)
- Transportation (19)
Media Contacts
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.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
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.
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.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.