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ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.

A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine

Autonomous additive manufacturing, or AI- guided 3D printing, can accurately estimate the strength and quality of printed components. This system collects information about conditions during production, including temperature, that influence the properties and quality of printed objects. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy

Autonomous labs are changing the nature of scientific investigation. Instead of humans manually orchestrating every part of an experiment, programmed equipment can carry out necessary functions. This workflow accelerates the pace of discovery by reducing the number of monotonous tasks that researchers must perform.

Takaaki Koyanagi

Takaaki Koyanagi, an R&D staff member in the Materials Science and Technology Division of ORNL, has received the TMS Frontiers of Materials award.

 

A beam of excited sodium-32 nuclei implants in the FRIB Decay Station initiator is used to detect decay signatures of isotopes. Credit: Gary Hollenhead, Toby King and Adam Malin/ORNL, U.S. Dept. of Energy

Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.

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.  

ORNL-developed software tools for identifying and quantifying energy efficiency will be demonstrated to participants during an Energy Bootcamp sponsored by DOE’s Industrial Efficiency and Decarbonization Office. Credit: ORNL, U.S. Dept. of Energy

ORNL researchers have developed a training camp to help manufacturing industries reduce energy-related carbon dioxide emissions and improve cost savings.

Ken Engle portrait

It was reading about current nuclear discoveries in textbooks that first made Ken Engle want to work at a national lab. It was seeing the real-world impact of the isotopes produced at ORNL 

 

Mahabir Bhandari and Kashif Nawaz  portrait images.

Kashif Nawaz and Mahabir Bhandari, building technologies researchers at the Department of Energy’s Oak Ridge National Laboratory, were recognized for research achievements in support of ASHRAE during the 2023 annual conference.

Jonathan Harter, a technical professional in ORNL’s Engineering Science and Technology Directorate, uses a robot and other automated methods to disassemble electric vehicle batteries for recycling or reuse in the electric grid. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

After being stabilized in an ambulance as he struggled to breathe, Jonathan Harter hit a low point. It was 2020, he was very sick with COVID-19, and his job as a lab technician at ORNL was ending along with his research funding.

Eric Myers

Eric Myers of ORNL has been named a senior member of the Institute of Electrical and Electronics Engineers, effective June 21.