Filter News
Area of Research
- (-) National Security (3)
- Advanced Manufacturing (5)
- Biology and Environment (30)
- Building Technologies (4)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Energy Science (97)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Materials (16)
- Materials for Computing (4)
- Neutron Science (2)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (11)
News Type
News Topics
- (-) Buildings (1)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Chemical Sciences (2)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (35)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (5)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Summit (2)
- Transportation (2)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 3 of 3 Results

Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.

Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.

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.