Filter News
Area of Research
News Topics
- (-) Biomedical (11)
- (-) Machine Learning (10)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (15)
- Bioenergy (15)
- Biology (17)
- Biotechnology (3)
- Buildings (17)
- Chemical Sciences (7)
- Clean Water (13)
- Climate Change (20)
- Composites (9)
- Computer Science (39)
- Coronavirus (11)
- Critical Materials (11)
- Cybersecurity (3)
- Decarbonization (7)
- Energy Storage (30)
- Environment (43)
- Exascale Computing (1)
- Frontier (1)
- Fusion (9)
- Grid (20)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials (34)
- Materials Science (31)
- Mathematics (1)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (1)
- Neutron Science (27)
- Nuclear Energy (18)
- Partnerships (1)
- Physics (4)
- Polymers (8)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (6)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (42)
- Transportation (35)
Media Contacts
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
Oak Ridge National Laboratory and collaborators have discovered that signaling molecules known to trigger symbiosis between plants and soil bacteria are also used by almost all fungi as chemical signals to communicate with each other.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Scientists at Oak Ridge National Laboratory and the University of Tennessee designed and demonstrated a method to make carbon-based materials that can be used as electrodes compatible with a specific semiconductor circuitry.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.