
Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Big Data (7)
- (-) Clean Water (5)
- (-) Machine Learning (6)
- (-) Polymers (2)
- (-) Quantum Science (5)
- (-) Space Exploration (3)
- (-) Transportation (5)
- Advanced Reactors (1)
- Artificial Intelligence (7)
- Bioenergy (17)
- Biology (21)
- Biomedical (5)
- Biotechnology (2)
- Buildings (12)
- Chemical Sciences (6)
- Composites (3)
- Computer Science (13)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (3)
- Energy Storage (8)
- Environment (30)
- Exascale Computing (4)
- Frontier (4)
- Fusion (4)
- Grid (6)
- High-Performance Computing (11)
- Hydropower (8)
- Irradiation (1)
- Isotopes (2)
- ITER (1)
- Materials (19)
- Materials Science (7)
- Mercury (1)
- Microscopy (10)
- Nanotechnology (5)
- National Security (10)
- Neutron Science (5)
- Nuclear Energy (3)
- Partnerships (2)
- Physics (3)
- Quantum Computing (5)
- Security (2)
- Simulation (5)
- Summit (5)
Media Contacts

A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.

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.

A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.

A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.

A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.