Filter News
Area of Research
News Topics
- (-) Machine Learning (8)
- (-) Transportation (15)
- 3-D Printing/Advanced Manufacturing (28)
- Advanced Reactors (14)
- Artificial Intelligence (8)
- Big Data (11)
- Bioenergy (12)
- Biology (5)
- Biomedical (21)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (2)
- Climate Change (10)
- Composites (1)
- Computer Science (39)
- Coronavirus (23)
- Critical Materials (2)
- Cybersecurity (4)
- Decarbonization (1)
- Energy Storage (21)
- Environment (29)
- Exascale Computing (3)
- Frontier (1)
- Fusion (13)
- Grid (7)
- High-Performance Computing (3)
- Isotopes (8)
- Materials (2)
- Materials Science (37)
- Mathematics (2)
- Mercury (1)
- Microscopy (8)
- Molten Salt (2)
- Nanotechnology (17)
- National Security (2)
- Neutron Science (30)
- Nuclear Energy (31)
- Physics (13)
- Polymers (7)
- Quantum Science (14)
- Security (3)
- Space Exploration (2)
- Summit (17)
- Sustainable Energy (24)
- Transformational Challenge Reactor (5)
Media Contacts
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.
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.
Burak Ozpineci of the Electrical and Electronics Systems Research Division at Oak Ridge National Laboratory has won the 2020 IEEE Power Electronics Society Vehicle and Transportation Systems Achievement Award.
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.
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
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.