Filter News
Area of Research
- (-) National Security (33)
- (-) Supercomputing (138)
- Advanced Manufacturing (7)
- Biology and Environment (72)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (83)
- Climate and Environmental Systems (3)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (17)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (137)
- Materials Characterization (1)
- Materials for Computing (21)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (49)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (45)
- (-) Big Data (22)
- (-) Climate Change (20)
- (-) Computer Science (104)
- (-) Materials Science (17)
- (-) Nanotechnology (11)
- (-) Physics (8)
- (-) Summit (42)
- 3-D Printing/Advanced Manufacturing (7)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Environment (25)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (1)
- Machine Learning (23)
- Materials (16)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (5)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to products with inherently antibacterial surfaces that are more effective than current chemical treatments.
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
As a result of largescale 3D supernova simulations conducted on the Oak Ridge Leadership Computing Facility’s Summit supercomputer by researchers from the University of Tennessee and Oak Ridge National Laboratory, astrophysicists now have the most complete picture yet of what gravitational waves from exploding stars look like.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
Simulations performed on the Summit supercomputer at ORNL revealed new insights into the role of turbulence in mixing fluids and could open new possibilities for projecting climate change and studying fluid dynamics.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.