Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (7)
- (-) Materials (5)
- (-) Materials Science (4)
- (-) Microscopy (2)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (3)
- Bioenergy (7)
- Biology (4)
- Biomedical (4)
- Biotechnology (1)
- Buildings (4)
- Clean Water (2)
- Climate Change (8)
- Computer Science (16)
- Coronavirus (2)
- Cybersecurity (2)
- Decarbonization (8)
- Energy Storage (6)
- Environment (13)
- Exascale Computing (2)
- Frontier (3)
- Grid (3)
- High-Performance Computing (4)
- Machine Learning (3)
- Mercury (1)
- Nanotechnology (3)
- National Security (1)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (2)
- Partnerships (1)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (4)
- Security (1)
- Simulation (3)
- Space Exploration (2)
- Summit (8)
- Sustainable Energy (7)
- Transportation (8)
Media Contacts
Materials scientist Denise Antunes da Silva researches ways to reduce concrete’s embodied carbon in the Sustainable Building Materials Laboratory at ORNL, a research space dedicated to studying environmentally friendly building materials. Credit: ORNL, U.S. Dept. of Energy
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.