A new integrated computational model reduces uncertainty in climate predictions by bridging Earth systems with energy and economic models and large-scale human impact data.
Filter News
Area of Research
- Biology and Environment (9)
- (-) Clean Energy (14)
- Climate and Environmental Systems (1)
- Computational Engineering (4)
- Computer Science (4)
- Data (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Knowledge Discovery (1)
- Materials (15)
- Materials for Computing (4)
- National Security (8)
- Neutron Science (3)
- Quantum information Science (22)
- Sensors and Controls (1)
- Supercomputing (93)
News Type
Oak Ridge National Laboratory scientists created an approach to get a better look at plant cell wall characteristics at high resolution as they create more efficient, less costly methods to deconstruct biomass.
Electric utilities seeking to enhance worker safety and system reliability by using drones to inspect their transmission systems can look to a new report by Oak Ridge National Laboratory researchers to help guide their efforts.
ORNL’s climate and energy scientists have developed a new method to pinpoint which electrical service areas will be most vulnerable as populations grow and temperatures rise.