Olivera Kotevska, a research scientist in Oak Ridge National Laboratory’s Computing and Computational Sciences Directorate, has been awarded senior membership by the Institute of Electrical and Electronics Engineers, the world’s largest association for
Filter News
Area of Research
- Biology and Environment (8)
- Clean Energy (7)
- Climate and Environmental Systems (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (10)
- Materials for Computing (4)
- National Security (7)
- Neutron Science (2)
- Quantum information Science (15)
- Supercomputing (59)
News Type
Piyush Sao, a research scientist in Oak Ridge National Laboratory’s Computing and Computational Sciences Directorate, has received the Best Paper Prize from the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Supercomputing.
A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
Researchers at ORNL used polymer chemistry to transform a common household plastic into a reusable adhesive with a rare combination of strength and ductility, making it one of the toughest materials ever reported.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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