Filter News
Area of Research
News Type
News Topics
- (-) Grid (10)
- (-) Machine Learning (9)
- (-) Polymers (4)
- (-) Summit (16)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (16)
- Artificial Intelligence (15)
- Big Data (16)
- Bioenergy (10)
- Biology (4)
- Biomedical (19)
- Biotechnology (2)
- Chemical Sciences (2)
- Clean Water (6)
- Climate Change (5)
- Composites (1)
- Computer Science (52)
- Coronavirus (14)
- Cybersecurity (3)
- Energy Storage (21)
- Environment (30)
- Exascale Computing (3)
- Frontier (1)
- Fusion (15)
- High-Performance Computing (1)
- Isotopes (4)
- Materials Science (29)
- Mathematics (2)
- Mercury (2)
- Microscopy (7)
- Molten Salt (2)
- Nanotechnology (8)
- Neutron Science (25)
- Nuclear Energy (37)
- Physics (11)
- Quantum Science (11)
- Security (2)
- Space Exploration (5)
- Sustainable Energy (15)
- Transformational Challenge Reactor (3)
- Transportation (19)
Media Contacts
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
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.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology
With the rise of the global pandemic, Omar Demerdash, a Liane B. Russell Distinguished Staff Fellow at ORNL since 2018, has become laser-focused on potential avenues to COVID-19 therapies.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the