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2023 Battelle Distinguished Inventors

Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.

ORNL researchers found that a polyelectrolyte additive can improve the stability and performance of a salt hydrate PCM, enhancing the potential for use in heat pumps. Credit: ORNL, U.S. Dept. of Energy

ORNL researchers demonstrated that an additive made from polymers and electrolytes improves the thermal performance and stability of salt hydrate phase change materials, or PCMs, a finding that could advance their integration into carbon-reducing heat pumps.

Logo that reads U.S. Department of Energy INCITE Leadership Computing

The Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation. 

ORNL scientists developed a method that improves the accuracy of the CRISPR Cas9 gene editing tool used to modify microbes for renewable fuels and chemicals production. This research draws on the lab’s expertise in quantum biology, artificial intelligence and synthetic biology. Credit: Philip Gray/ORNL, U.S. Dept. of Energy

Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.

The Department of Energy’s Oak Ridge National Laboratory announced the establishment of its Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making. Credit: Rachel Green/ORNL, U.S. Dept. of Energy

The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.

As a scientist at Oak Ridge National Laboratory, Tugba Turnaoglu is investigating new thermal energy storage materials and ways to incorporate them into cost-effective and energy-efficient heat pump designs. Credit: Carlos Jones/ORNL, U.S. Dept of Energy

The common sounds in the background of daily life – like a refrigerator’s hum, an air conditioner’s whoosh and a heat pump’s buzz – often go unnoticed. These noises, however, are the heartbeat of a healthy building and integral for comfort and convenience.

Bryan Maldonado, a researcher in the Buildings and Transportation Science Division at ORNL, will receive the 2023 Most Promising Engineer Award from the Hispanic Engineer National Achievements Awards Conference. Credit: ORNL, U.S. Dept. of Energy

Bryan Maldonado, a dynamic systems and controls researcher at ORNL, has been recognized by the 2023 Hispanic Engineer National Achievements Awards Conference, or HENAAC, with the Most Promising Engineer Award.  

TIP graphic

Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.

Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences.

Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.

An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL

Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.