Filter News
Area of Research
- (-) Clean Energy (28)
- (-) National Security (4)
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Computer Science (1)
- Fusion and Fission (2)
- Fusion Energy (3)
- Materials (19)
- Materials for Computing (3)
- Neutron Science (25)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (15)
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (4)
- (-) Chemical Sciences (2)
- (-) Clean Water (1)
- (-) Grid (6)
- (-) Microscopy (3)
- (-) Neutron Science (6)
- (-) Transportation (13)
- 3-D Printing/Advanced Manufacturing (17)
- Big Data (4)
- Bioenergy (9)
- Biology (1)
- Biomedical (2)
- Biotechnology (1)
- Climate Change (7)
- Composites (1)
- Computer Science (13)
- Coronavirus (8)
- Cybersecurity (4)
- Decarbonization (1)
- Energy Storage (16)
- Environment (18)
- Exascale Computing (1)
- High-Performance Computing (1)
- Isotopes (1)
- Machine Learning (5)
- Materials (2)
- Materials Science (11)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Nuclear Energy (3)
- Physics (1)
- Polymers (3)
- Quantum Science (2)
- Security (3)
- Summit (3)
- Sustainable Energy (20)
- Transformational Challenge Reactor (2)
Media Contacts
![Smart Neighborhood homes](/sites/default/files/styles/list_page_thumbnail/public/2020-01/04.09.TD-SMartHome_0.jpg?h=5b5a5437&itok=22S5Tle1)
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.