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Young Kim on Muck Rack

Young Kim

New York
As seen in: CBS News Sunday Morning, MSN Ireland, MSN UK, Fox Noticias, Nature, Wiley Online Library, Yahoo Canada, Yahoo News Australia, Aol, Fox News, Newsweek and
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Articles

Physics-informed deep learning with a Softmin-Fermat time-of-flight loss for ultrasonic inspection of anisotropic welds

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By Hyunjun Kim, Young Kim, Ilhyun Yoo
| Taylor & Francis Online
ABSTRACT Ultrasonic imaging of austenitic welds is degraded by spatially varying anisotropy, which distorts travel times and limits isotropic delay-law focusing. This simulation-based study proposes a weld-specific physics-informed deep learning framework for estimating effective weld-orientation maps from full matrix capture (FMC) data using a differentiable Softmin-Fermat time-of-flight (SF-ToF) loss.
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Essential American Songbook

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By Emily Lazar Verified, Mark Hudspeth Verified, Liza Monasebian, Young Kim, Robert Marston, Grace Manthey Verified
| cbsn.ws
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Actinidiosides A-E: Five New Iridoid Glycosides From the Gall Fruits of Actinidia polygama

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By Sung Don Lim, Young Kim
| Wiley Online Library Verified
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