Filter News
Area of Research
News Type
News Topics
- (-) Big Data (13)
- (-) Cybersecurity (2)
- (-) Exascale Computing (12)
- (-) Materials (4)
- (-) Materials Science (8)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (21)
- Bioenergy (3)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (46)
- Coronavirus (7)
- Decarbonization (3)
- Energy Storage (1)
- Environment (13)
- Frontier (13)
- Grid (1)
- High-Performance Computing (20)
- Machine Learning (7)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (2)
- Physics (3)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (10)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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 led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.