Filter News
Area of Research
News Type
News Topics
- (-) Biomedical (3)
- (-) Energy Storage (1)
- (-) Environment (8)
- (-) Exascale Computing (1)
- (-) Frontier (3)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (5)
- Big Data (2)
- Bioenergy (2)
- Biology (4)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (5)
- Computer Science (14)
- Coronavirus (3)
- Decarbonization (1)
- High-Performance Computing (10)
- Machine Learning (2)
- Materials (4)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (3)
- Physics (1)
- Quantum Computing (6)
- Quantum Science (4)
- Security (1)
- Simulation (3)
- Summit (6)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
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.
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 rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.