Filter News
Area of Research
News Topics
- (-) Cybersecurity (1)
- (-) Environment (4)
- (-) Machine Learning (5)
- (-) Space Exploration (1)
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (2)
- Biology (5)
- Biomedical (4)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (5)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (3)
- Energy Storage (3)
- Exascale Computing (6)
- Frontier (7)
- Grid (2)
- High-Performance Computing (8)
- Materials (8)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (3)
- Neutron Science (1)
- Partnerships (1)
- Physics (1)
- Quantum Computing (7)
- Quantum Science (4)
- Security (2)
- Simulation (5)
- Summit (7)
- Sustainable Energy (2)
Media Contacts
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.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
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.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
ORNL biogeochemist Elizabeth Herndon is working with colleagues to investigate a piece of the puzzle that has received little attention thus far: the role of manganese in the carbon cycle.
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 new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.