Filter News
Area of Research
- (-) Supercomputing (11)
- Biology and Environment (22)
- Clean Energy (27)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (14)
- Fusion Energy (5)
- Materials (7)
- Materials for Computing (1)
- National Security (12)
- Neutron Science (3)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
News Topics
- (-) Grid (1)
- (-) Machine Learning (7)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (21)
- Big Data (14)
- Bioenergy (3)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (1)
- Environment (13)
- Exascale Computing (14)
- Frontier (14)
- High-Performance Computing (22)
- Isotopes (1)
- Materials (4)
- Materials Science (8)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (2)
- Physics (4)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (1)
- Summit (22)
- Transportation (3)
Media Contacts
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
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.
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.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
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.