Filter News
Area of Research
News Topics
- (-) Bioenergy (5)
- (-) Biomedical (7)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (2)
- Artificial Intelligence (26)
- Big Data (32)
- Biology (6)
- 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)
- Mathematics (2)
- Microscopy (2)
- Molten Salt (1)
- 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

Scientists conducted a groundbreaking study on the genetic data of over half a million U.S. veterans, using tools from the Oak Ridge National Laboratory to analyze 2,068 traits from the Million Veteran Program.

Scientists at the Department of Energy’s Oak Ridge National Laboratory recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.

A new Global Biomass Resource Assessment developed by ORNL scientists gathered data from 55 countries resulting in a first-of-its kind compilation of current and future sustainable biomass supply estimates around the world.

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.

A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.

A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.

A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.

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.

As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.

Oak Ridge National Laboratory will partner with Cincinnati Children’s Hospital Medical Center to explore ways to deploy expertise in health data science that could more quickly identify patients’ mental health risk factors and aid in