Filter News
Area of Research
- (-) Nuclear Science and Technology (12)
- (-) Supercomputing (63)
- Advanced Manufacturing (2)
- Biology and Environment (98)
- Biology and Soft Matter (1)
- Clean Energy (92)
- Climate and Environmental Systems (5)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (2)
- Energy Frontier Research Centers (1)
- Fusion and Fission (25)
- Fusion Energy (13)
- Isotopes (1)
- Materials (64)
- Materials for Computing (10)
- Mathematics (1)
- National Security (25)
- Neutron Science (24)
- Quantum information Science (8)
- Sensors and Controls (1)
News Type
News Topics
- (-) Environment (20)
- (-) Fusion (9)
- (-) Grid (4)
- (-) Machine Learning (13)
- (-) Molten Salt (5)
- (-) Nanotechnology (11)
- (-) Quantum Science (23)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (11)
- Artificial Intelligence (34)
- Big Data (18)
- Bioenergy (9)
- Biology (11)
- Biomedical (18)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (93)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (7)
- Exascale Computing (20)
- Frontier (26)
- High-Performance Computing (34)
- Isotopes (6)
- Materials (13)
- Materials Science (18)
- Mathematics (1)
- Microscopy (7)
- National Security (8)
- Net Zero (1)
- Neutron Science (16)
- Nuclear Energy (36)
- Partnerships (1)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Security (5)
- Simulation (12)
- Software (1)
- Space Exploration (8)
- Summit (41)
- Sustainable Energy (9)
- Transformational Challenge Reactor (3)
- Transportation (6)
Media Contacts
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.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
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.
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.
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 team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet