Filter News
Area of Research
- (-) Supercomputing (38)
- Advanced Manufacturing (1)
- Biology and Environment (39)
- Clean Energy (45)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion Energy (1)
- Isotopes (10)
- Materials (37)
- Materials for Computing (3)
- Mathematics (1)
- National Security (15)
- Neutron Science (18)
- Nuclear Science and Technology (6)
- Quantum information Science (2)
News Type
News Topics
- (-) Climate Change (5)
- (-) Cybersecurity (6)
- (-) Environment (8)
- (-) Isotopes (1)
- (-) Physics (4)
- (-) Summit (21)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (15)
- Big Data (6)
- Bioenergy (6)
- Biology (5)
- Biomedical (10)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (4)
- Computer Science (49)
- Coronavirus (7)
- Critical Materials (3)
- Decarbonization (2)
- Energy Storage (7)
- Exascale Computing (11)
- Frontier (15)
- Fusion (1)
- Grid (4)
- High-Performance Computing (19)
- Machine Learning (7)
- Materials (11)
- Materials Science (8)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (3)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (9)
- Quantum Science (14)
- Security (4)
- Simulation (5)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (7)
- Transportation (3)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
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.
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.
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.
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.