Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (5)
- (-) Bioenergy (2)
- (-) Environment (7)
- (-) Exascale Computing (1)
- (-) Machine Learning (2)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (1)
- Biology (4)
- Biomedical (3)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (5)
- Computer Science (13)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (1)
- Frontier (3)
- High-Performance Computing (10)
- Materials (4)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (3)
- Physics (1)
- Quantum Computing (6)
- Quantum Science (4)
- Simulation (3)
- Summit (6)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
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.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
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.