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We are excited to announce that Prof. Kevin Field and Lauryn Kortman recently traveled to Singapore to attend and present at the prestigious NuMat 2024 nuclear materials conference. Prof. Field delivered a talk titled, “Identifying Human and Image Quality Biases in Radiation Swelling Studies with TEM,” which is based on recent work by NOME group member, G.

Prof. Kevin G. Field recently attended the Mechanical Behavior and Radiation Effects (MBRE) meeting in Gaithersburg, MD, where he presented a poster on newly funded collaborative work with Prof. Dane D.

Members of the Nuclear Oriented Materials and Examination (NOME) lab showcased their competitive spirit during the annual Nuclear Engineering and Radiological Sciences (NERS) fountain race, held as part of the NERS Fall welcome celebrations.

The Nuclear Oriented Materials and Examination (NOME) lab is thrilled to welcome Lauryn Kortman, a first-year PhD student in the Department of Nuclear Engineering and Radiological Sciences at the University of Michigan.

Check out our nod in Forbes.

Check out our amazing achievement as reported by the University of Michigan.

Award for Pengyuan Xiu’s U.S. Department of Energy – Office of Nuclear Energy (DOE-NE) Nuclear Science User Facilities (NSUF) Rapid Turnaround Experiment (RTE) proposal to complete atom probe tomography of additively manufactured HT9 alloys was announced today!

Today we installed our new Lambda Vector GPU workstation in our NOME offices. This system uses four Nvidia RTX A5000 GPUs with NVLink to perform our machine learning training and testing tasks as part of our deep learning detection project.

Prof. Field co-authored two new papers this Fall: A paper that highlighta the ability for machine learning to perform automated detection and tracking in in situ TEM videos. The paper is tied to our project on exploring convolutional neural networks for defect detection.

Congratulations NERS Class of 2021 and to our very own Steven Chen (BS) and Gabirella Bruno (MS)!