Filter News
Area of Research
- Advanced Manufacturing (13)
- Biology and Environment (107)
- Building Technologies (2)
- Clean Energy (166)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (10)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (153)
- Materials Characterization (2)
- Materials for Computing (23)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (25)
- Neutron Science (47)
- Nuclear Science and Technology (8)
- Quantum information Science (1)
- Supercomputing (74)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (95)
- (-) Biology (100)
- (-) Clean Water (30)
- (-) Element Discovery (1)
- (-) Materials (145)
- (-) Materials Science (144)
- (-) Molten Salt (8)
- (-) Sustainable Energy (129)
- (-) Transportation (97)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Big Data (58)
- Bioenergy (92)
- Biomedical (59)
- Biotechnology (23)
- Buildings (59)
- Chemical Sciences (69)
- Climate Change (103)
- Composites (29)
- Computer Science (194)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (81)
- Education (4)
- Emergency (2)
- Energy Storage (111)
- Environment (198)
- Exascale Computing (39)
- Fossil Energy (6)
- Frontier (44)
- Fusion (55)
- Grid (65)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- Isotopes (54)
- ITER (7)
- Machine Learning (48)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Nanotechnology (60)
- National Security (68)
- Net Zero (14)
- Neutron Science (133)
- Nuclear Energy (110)
- Partnerships (49)
- Physics (63)
- Polymers (33)
- Quantum Computing (35)
- Quantum Science (70)
- Renewable Energy (2)
- Security (24)
- Simulation (49)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Transformational Challenge Reactor (7)
Media Contacts
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Using additive manufacturing, scientists experimenting with tungsten at Oak Ridge National Laboratory hope to unlock new potential of the high-performance heat-transferring material used to protect components from the plasma inside a fusion reactor. Fusion requires hydrogen isotopes to reach millions of degrees.
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.
A team of scientists led by Oak Ridge National Laboratory have discovered the specific gene that controls an important symbiotic relationship between plants and soil fungi, and successfully facilitated the symbiosis in a plant that
In Hong Wang’s world, nothing is beyond control. Before joining Oak Ridge National Laboratory as a senior distinguished researcher in transportation systems, he spent more than three decades studying the control of complex industrial systems in the United Kingdom.
Oak Ridge National Laboratory has teamed with Cornell College and the University of Tennessee to study ways to repurpose waste soft drinks for carbon capture that could help cut carbon dioxide emissions.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A team of researchers at Oak Ridge National Laboratory have demonstrated that designed synthetic polymers can serve as a high-performance binding material for next-generation lithium-ion batteries.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool