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Researchers from ORNL’s Vehicle and Autonomy Research Group created a control strategy for a hybrid electric bus that demonstrated up to 30% energy savings. Credit: University of California, Riverside

Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.

David Sholl is director of the new ORNL Transformational Decarbonization Initiative, working to elevate the lab’s prominence in decarbonization science and technology. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy.

David Sholl has come to the U.S. Department of Energy’s Oak Ridge National Laboratory with a wealth of scientific expertise and a personal mission: hasten the development and deployment of decarbonization solutions for the nation’s energy system.

Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Kashif Nawaz, researcher and group leader for multifunctional equipment integration in buildings technologies, is developing a platform for the direct air capture of carbon dioxide that can be retrofitted to existing rooftop heating, ventilation and air conditioning units.  Credit: ORNL/U.S. Dept. of Energy

When Kashif Nawaz looks at a satellite map of the U.S., he sees millions of buildings that could hold a potential solution for the capture of carbon dioxide, a plentiful gas that can be harmful when excessive amounts are released into the atmosphere, raising the Earth’s temperature.

An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy

Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.