
Filter News
Area of Research
- Biology and Environment (134)
- Biology and Soft Matter (1)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Science (62)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (17)
- Materials for Computing (2)
- Mathematics (1)
- National Security (9)
- Neutron Science (14)
- Nuclear Science and Technology (1)
- Supercomputing (32)
News Topics
- (-) Biology (118)
- (-) Environment (217)
- 3-D Printing/Advanced Manufacturing (141)
- Advanced Reactors (40)
- Artificial Intelligence (122)
- Big Data (76)
- Bioenergy (103)
- Biomedical (70)
- Biotechnology (30)
- Buildings (73)
- Chemical Sciences (84)
- Clean Water (32)
- Composites (33)
- Computer Science (220)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Exascale Computing (61)
- Fossil Energy (8)
- Frontier (61)
- Fusion (65)
- Grid (73)
- High-Performance Computing (125)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (65)
- Materials (156)
- Materials Science (154)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (55)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (85)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (64)
- Physics (68)
- Polymers (34)
- Quantum Computing (49)
- Quantum Science (85)
- Security (30)
- Simulation (63)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
Media Contacts
Connect with ORNL
Get ORNL News

Scientists at ORNL have developed a first-ever method of detecting ribonucleic acid, or RNA, inside plant cells using a technique that results in a visible fluorescent signal. The technology can help researchers detect and track changes in RNA and gene expression in real time, providing a powerful tool for the development of hardier bioenergy and food crops and for detection of unwanted plant modifications, pathogens and pests.
Dave Weston studies how microorganisms influence plant health and stress tolerance, using the Advanced Plant Phenotyping Laboratory to accelerate research on plant-microbe interactions and develop resilient crops for advanced fuels, chemicals and materials.

In collaboration with the U.S. Department of Homeland Security’s Science and Technology Directorate, researchers at ORNL are evaluating technology to detect compounds emitted by pathogens and pests in agricultural products at the nation’s border.
To help reduce the likelihood of losing future cultivated crops to drought and other seasonal hardships, researchers from ORNL, Budapest and Hungary are using neutrons, light microscopy and transmission electron microscopy to study the 'Never Never' plant, known for its ability to endure periods of little to no rain.

Researchers at Georgia State University used the Summit supercomputer to study an elaborate molecular pathway called nucleotide excision repair. Decoding NER’s sophisticated sequence of events and the role of PInC in the pathway could provide key insights into developing novel treatments and preventing conditions that lead to premature aging and certain types of cancer.

Hugh O’Neill’s lifelong fascination with the complexities of the natural world drives his research at ORNL, where he’s using powerful neutron beams to dive deep into the microscopic realm of biological materials and unlock secrets for better production of domestic biofuels and bioproducts.

Melissa Cregger of the Department of Energy’s 91°µÍø has received the Presidential Early Career Award for Science and Engineers, or PECASE, the highest honor bestowed by the U.S. government on outstanding early-career scientists and engineers.

P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.

Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment.

Scientists and land managers interested in accessing the first dataset of its kind on one of the most biologically diverse ecosystems in the world were given hands-on tutorials during a recent workshop by researchers supporting the ORNL Distributed Active Archive Center for Biogeochemical Dynamics.