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Joon-Seok Kim Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.

Jiafu Mao, left, and Yaoping Wang discuss their analysis of urban and rural vegetation resilience across the United States in the EVEREST visualization lab at ORNL. Credit: Carlos Jones, ORNL/U.S. Dept. of Energy

Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.

Quietly making noise: Measuring differential privacy could balance meaningful analytics and identity protection

To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.

The AI for Energy Report provides a framework for using AI to accelerate decarbonization of the U.S. economy. Credit: Argonne National Laboratory

Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.

The transportation and industrial sectors together account for more than 50% of the country’s carbon footprint. Defossilization could help reduce new emissions from these and other difficult-to-electrify segments of the U.S. economy.

Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions. 

The EPA approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and Oak Ridge National Laboratory that can significantly reduce vehicle emissions when added to conventional fuels. Credit: Adam Malin/ORNL, U.S. Dept. of Energy

The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels. 

Oak Ridge National Laboratory’s Sachin Nimbalkar, left, and Thomas Wenning guide energy-saving training activities for industry during Energy Bootcamps, hosted by DOE’s Better Plants program. Credit: ORNL, U.S. Dept. of Energy

Helping hundreds of manufacturing industries and water-power facilities across the U.S. increase energy efficiency requires a balance of teaching and training, blended with scientific guidance and technical expertise. It’s a formula for success that ORNL researchers have been providing to DOE’s Better Plants Program for more than a decade.

As a chemical engineer focusing on low-carbon energy sources like hydrogen, Cheekatamarla’s research at ORNL supports the deployment of clean energy technologies in buildings and industries. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Cheekatamarla is a researcher in the Multifunctional Equipment Integration group with previous experience in product deployment. He is researching alternative energy sources such as hydrogen for cookstoves and his research supports the decarbonization of building technologies. 

Scott Curran, group leader for Fuel Science and Engine Technologies Research at Oak Ridge National Laboratory, has been named a fellow of SAE International and ASME. Credit: ORNL, U.S. Dept. of Energy

ORNL's Scott Curran, group leader for Fuel Science and Engine Technologies Research, has been named a fellow of SAE International and ASME.

ORNL researchers to present wireless charging technology in OTT’s Discovery Series webinar

ORNL’s Omer Onar and Mostak Mohammad will present on ORNL's wireless charging technology in DOE’s Office of Technology Transitions National Lab Discovery Series Tuesday, April 30.