Filter News
Area of Research
News Topics
- (-) Machine Learning (4)
- (-) Nanotechnology (1)
- (-) Quantum Science (1)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (1)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (4)
- Biomedical (4)
- Clean Water (1)
- Climate Change (3)
- Computer Science (8)
- Coronavirus (9)
- Cybersecurity (2)
- Energy Storage (12)
- Environment (8)
- Grid (6)
- Materials Science (8)
- Mathematics (2)
- Microscopy (2)
- Neutron Science (10)
- Nuclear Energy (2)
- Polymers (2)
- Security (2)
- Sustainable Energy (10)
- Transportation (9)
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.
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
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.