Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Nuclear Science and Technology (1)
- Advanced Manufacturing (5)
- Biology and Environment (82)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (101)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (2)
- Isotopes (1)
- Materials (58)
- Materials for Computing (13)
- Mathematics (1)
- National Security (9)
- Neutron Science (12)
- Quantum information Science (2)
- Renewable Energy (1)
- Supercomputing (72)
News Type
News Topics
- (-) Summit (1)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (11)
- Artificial Intelligence (1)
- Bioenergy (1)
- Biology (2)
- Biomedical (4)
- Computer Science (3)
- Coronavirus (2)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (1)
- Fusion (8)
- High-Performance Computing (2)
- Isotopes (5)
- Materials Science (3)
- Molten Salt (4)
- Neutron Science (6)
- Nuclear Energy (36)
- Physics (2)
- Space Exploration (5)
- Transformational Challenge Reactor (3)
Media Contacts
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.