Filter News
Area of Research
- (-) Biological Systems (1)
- (-) National Security (3)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Clean Energy (11)
- Computational Biology (1)
- Fusion and Fission (3)
- Isotopes (5)
- Materials (30)
- Materials for Computing (4)
- Neutron Science (13)
- Nuclear Science and Technology (6)
- Supercomputing (18)
News Topics
- (-) Biomedical (2)
- (-) Materials Science (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (4)
- Bioenergy (3)
- Biology (3)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (9)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Nanotechnology (1)
- National Security (23)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
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.
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.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.