Filter News
Area of Research
- (-) Biological Systems (2)
- (-) Computer Science (6)
- (-) Energy Sciences (1)
- Advanced Manufacturing (5)
- Biology and Environment (75)
- Building Technologies (2)
- Clean Energy (96)
- Computational Biology (1)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Materials (68)
- Materials for Computing (10)
- National Security (13)
- Neutron Science (22)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (70)
News Type
News Topics
- (-) Big Data (4)
- (-) Bioenergy (2)
- (-) Summit (1)
- (-) Sustainable Energy (3)
- Artificial Intelligence (6)
- Biomedical (1)
- Buildings (1)
- Computer Science (15)
- Cybersecurity (1)
- Energy Storage (3)
- Environment (1)
- Exascale Computing (1)
- Grid (2)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials Science (1)
- Quantum Science (3)
Media Contacts
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.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
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 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
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.