Filter News
Area of Research
- (-) Materials (50)
- (-) Supercomputing (45)
- Advanced Manufacturing (14)
- Biology and Environment (80)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (110)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (7)
- Fusion Energy (7)
- Isotopes (1)
- Materials for Computing (10)
- Mathematics (1)
- National Security (18)
- Neutron Science (19)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (11)
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (22)
- (-) Environment (23)
- (-) Grid (3)
- (-) Materials Science (39)
- Big Data (17)
- Bioenergy (6)
- Biology (7)
- Biomedical (14)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (11)
- Clean Water (3)
- Climate Change (14)
- Composites (6)
- Computer Science (63)
- Coronavirus (10)
- Critical Materials (7)
- Cybersecurity (2)
- Decarbonization (5)
- Energy Storage (15)
- Exascale Computing (13)
- Frontier (14)
- Fusion (5)
- High-Performance Computing (23)
- Isotopes (8)
- Machine Learning (8)
- Materials (33)
- Mathematics (1)
- Microscopy (13)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (3)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (15)
- Partnerships (3)
- Physics (15)
- Polymers (11)
- Quantum Computing (15)
- Quantum Science (14)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (4)
- Summit (27)
- Sustainable Energy (9)
- Transformational Challenge Reactor (2)
- Transportation (14)
Media Contacts
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
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.
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.
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.
A multidisciplinary team of scientists at ORNL has applied a laser-interference structuring, or LIS, technique that makes significant strides toward eliminating the need for hazardous chemicals in corrosion protection for vehicles.