Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (3)
- (-) Bioenergy (3)
- (-) Climate Change (7)
- (-) Cybersecurity (1)
- (-) Environment (7)
- (-) Machine Learning (2)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (1)
- Biology (3)
- Biomedical (2)
- Buildings (4)
- Computer Science (4)
- Coronavirus (2)
- Decarbonization (8)
- Energy Storage (2)
- Exascale Computing (1)
- Frontier (3)
- High-Performance Computing (4)
- Materials (5)
- Materials Science (3)
- Microscopy (2)
- Nanotechnology (2)
- National Security (1)
- Net Zero (1)
- Neutron Science (1)
- Partnerships (1)
- Quantum Computing (5)
- Quantum Science (3)
- Simulation (3)
- Summit (4)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Energy and sustainability experts from ORNL, industry, universities and the federal government recently identified key focus areas to meet the challenge of successfully decarbonizing the agriculture sector
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.