Filter News
Area of Research
News Type
News Topics
- (-) Mathematics (2)
- (-) Molten Salt (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (2)
- Artificial Intelligence (26)
- Big Data (32)
- Bioenergy (5)
- Biology (6)
- Biomedical (7)
- Biotechnology (3)
- Buildings (3)
- Chemical Sciences (2)
- Clean Water (3)
- Computer Science (36)
- Coronavirus (2)
- Cybersecurity (3)
- Emergency (1)
- Energy Storage (1)
- Environment (27)
- Exascale Computing (8)
- Frontier (8)
- Fusion (2)
- Grid (6)
- High-Performance Computing (15)
- Hydropower (2)
- Isotopes (1)
- ITER (1)
- Machine Learning (13)
- Materials Science (6)
- Microscopy (2)
- Nanotechnology (4)
- National Security (24)
- Neutron Science (2)
- Nuclear Energy (3)
- Physics (4)
- Quantum Science (1)
- Security (4)
- Simulation (6)
- Space Exploration (1)
- Statistics (2)
- Summit (10)
- Transportation (5)
Media Contacts

John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.

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.

Oak Ridge National Laboratory scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.