Filter News
Area of Research
- (-) Materials (27)
- (-) National Security (17)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (28)
- Building Technologies (1)
- Clean Energy (62)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (16)
- Fusion Energy (11)
- Isotopes (4)
- Materials for Computing (9)
- Mathematics (1)
- Neutron Science (15)
- Nuclear Science and Technology (9)
- Quantum information Science (4)
- Supercomputing (65)
- Transportation Systems (2)
News Type
News Topics
- (-) Big Data (7)
- (-) Biomedical (5)
- (-) Computer Science (19)
- (-) Fusion (4)
- (-) Security (6)
- (-) Transportation (11)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (2)
- Artificial Intelligence (10)
- Bioenergy (5)
- Biology (3)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (11)
- Clean Water (3)
- Climate Change (4)
- Composites (6)
- Coronavirus (4)
- Critical Materials (5)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (14)
- Environment (11)
- Exascale Computing (1)
- Grid (7)
- High-Performance Computing (4)
- Isotopes (8)
- Machine Learning (9)
- Materials (32)
- Materials Science (36)
- Mathematics (1)
- Microscopy (12)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (22)
- Neutron Science (14)
- Nuclear Energy (14)
- Partnerships (3)
- Physics (13)
- Polymers (10)
- Quantum Computing (2)
- Quantum Science (2)
- Simulation (1)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (7)
- Transformational Challenge Reactor (2)
Media Contacts
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.