Filter News
Area of Research
- (-) National Security (30)
- (-) Neutron Science (33)
- (-) Transportation Systems (2)
- Advanced Manufacturing (5)
- Biology and Environment (60)
- Building Technologies (2)
- Clean Energy (162)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (82)
- Materials for Computing (17)
- Mathematics (1)
- Nuclear Science and Technology (10)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (126)
News Topics
- (-) Big Data (8)
- (-) Computer Science (31)
- (-) Frontier (2)
- (-) Grid (6)
- (-) Physics (10)
- (-) Polymers (1)
- (-) Space Exploration (3)
- (-) Sustainable Energy (4)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (2)
- Artificial Intelligence (18)
- Bioenergy (9)
- Biology (10)
- Biomedical (14)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (2)
- Climate Change (5)
- Composites (1)
- Coronavirus (10)
- Cybersecurity (19)
- Decarbonization (5)
- Energy Storage (8)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (2)
- High-Performance Computing (6)
- Machine Learning (15)
- Materials (16)
- Materials Science (25)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (11)
- National Security (35)
- Neutron Science (101)
- Nuclear Energy (7)
- Partnerships (5)
- Quantum Computing (1)
- Quantum Science (8)
- Security (12)
- Simulation (1)
- Summit (7)
Media Contacts
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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 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.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.