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Jinghui Yuan, an R&D staff member in the Applied Research for Mobility Systems group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to a senior member of the Institute of Electrical and Electronics Engineers.

Two green oak leaves with other matter in two circles above them. To the right, a yellow blob. To the left, a brown material inside a bowl.

Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.

Frankie White, male in a black suite with a white shirt, is standing crossing his arms.

Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home. 

Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.

John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.

Photo of a man in a black jacket suit with a blue shirt crossing his arms outside. He is smiling.

Robert Wagner, associate laboratory director for ORNL's Energy Science and Technology Directorate, has been selected to receive the George Westinghouse Gold Medal from the American Society of Mechanical Engineers, or ASME. The award recognizes his work to advance state-of-the-art clean power generation systems through research on combustion, fuel technologies and controls. 

Blue background with three rectangles. The first and third silver rectangles are showing the inside metal part of a fridge with small alternating horizontal rectangles going down the side in darker grey/silver.

A technology developed by Oak Ridge National Laboratory works to keep food refrigerated with phase change materials, or PCMs, while reducing carbon emissions by 30%.

Man in a beard holding tweezers, showing a bead if space glass closer to the screen.

Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study. 

ORNL researcher Louise Evans is working to ensure safeguards approaches and verification technologies are integrated early in the design process of advanced reactor technologies. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.

With support from the Quantum Science Center, a multi-institutional research team analyzed the potential of particles that show promise for quantum applications. Credit: Pixabay

A team of researchers including a member of the Quantum Science Center at ORNL has published a review paper on the state of the field of Majorana research. The paper primarily describes four major platforms that are capable of hosting these particles, as well as the progress made over the past decade in this area.

A team led by Oak Ridge National Laboratory researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date. Credit: Getty Images

A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.