Filter News
Area of Research
- (-) Advanced Manufacturing (11)
- (-) Biological Systems (2)
- (-) Supercomputing (47)
- Biology and Environment (70)
- Building Technologies (2)
- Clean Energy (115)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (115)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (31)
- Nuclear Science and Technology (8)
- Quantum information Science (2)
- Transportation Systems (1)
News Topics
- (-) Big Data (19)
- (-) Bioenergy (11)
- (-) Composites (3)
- (-) Materials Science (21)
- (-) Microscopy (7)
- (-) Molten Salt (1)
- (-) Sustainable Energy (14)
- 3-D Printing/Advanced Manufacturing (25)
- Advanced Reactors (2)
- Artificial Intelligence (37)
- Biology (11)
- Biomedical (18)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- Grid (5)
- High-Performance Computing (38)
- Isotopes (1)
- Machine Learning (15)
- Materials (21)
- Mathematics (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (5)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Software (1)
- Space Exploration (4)
- Summit (42)
- Transformational Challenge Reactor (1)
- Transportation (6)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Oak Ridge National Laboratory scientists identified a gene “hotspot” in the poplar tree that triggers dramatically increased root growth. The discovery supports development of better bioenergy crops and other plants that can thrive in difficult conditions while storing more carbon belowground.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Oak Ridge National Laboratory’s Innovation Crossroads program welcomes six new science and technology innovators from across the United States to the sixth cohort.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.