Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (5)
- (-) Bioenergy (6)
- (-) Environment (8)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (4)
- Big Data (6)
- Biology (2)
- Biomedical (10)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Computer Science (19)
- Coronavirus (11)
- Cybersecurity (2)
- Energy Storage (7)
- Exascale Computing (2)
- Fusion (9)
- Grid (3)
- High-Performance Computing (1)
- Isotopes (3)
- Machine Learning (2)
- Materials Science (11)
- Mathematics (2)
- Mercury (1)
- Microscopy (3)
- Nanotechnology (3)
- Neutron Science (9)
- Nuclear Energy (17)
- Physics (8)
- Polymers (1)
- Quantum Science (6)
- Security (2)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (4)
- Transformational Challenge Reactor (3)
- Transportation (5)
Media Contacts
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
From soda bottles to car bumpers to piping, electronics, and packaging, plastics have become a ubiquitous part of our lives.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
New capabilities and equipment recently installed at the Department of Energy’s Oak Ridge National Laboratory are bringing a creek right into the lab to advance understanding of mercury pollution and accelerate solutions.
Popular wisdom holds tall, fast-growing trees are best for biomass, but new research by two U.S. Department of Energy national laboratories reveals that is only part of the equation.
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have a powerful new tool in the quest to produce better plants for biofuels, bioproducts and agriculture.
While some of her earth system modeling colleagues at ORNL face challenges such as processor allocation or debugging code, Verity Salmon prepares for mosquito swarms and the possibility of grizzly bears.
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.