Filter News
Area of Research
- (-) Biological Systems (1)
- (-) National Security (5)
- (-) Quantum information Science (2)
- Biology and Environment (43)
- Clean Energy (28)
- Computational Biology (1)
- Fusion and Fission (4)
- Isotopes (3)
- Materials (26)
- Materials for Computing (4)
- Neutron Science (10)
- Nuclear Science and Technology (5)
- Supercomputing (20)
News Topics
- (-) Bioenergy (4)
- (-) Biomedical (2)
- (-) Buildings (1)
- (-) Nanotechnology (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (4)
- Biology (3)
- Biotechnology (1)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (1)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Materials Science (2)
- Microscopy (2)
- National Security (22)
- Neutron Science (2)
- Nuclear Energy (2)
- Quantum Science (5)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (2)
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
Scientists at ORNL and the University of Nebraska have developed an easier way to generate electrons for nanoscale imaging and sensing, providing a useful new tool for material science, bioimaging and fundamental quantum research.
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.
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.
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.