Seojoung Park

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Active since

2023

Affiliations

Ulsan National Institute of Science and Technology(Current)

Seojoung Park is an author at Ulsan National Institute of Science and Technology specializing in deep learning, battery modeling, and battery materials.

ORCID

Publications per year

2023–2023

Publications

Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles

Seojoung Park, Hyunjun Lee, Zoe K. Scott-Nevros et al. · Materials Horizons · 2023 · 25 citations

Natural Sciences, Computer Science, Materials Science +17

A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. <i>paratuberculosis</i> in Cattle

Sang‐Mok Lee, Hong-Tae Park, Seojoung Park et al. · Microbiology Spectrum · 2023 · 15 citations · Full text

Life Sciences, Microbiology, Veterinary Microbiology +17

Deep-learning optimized DEOCSU suite provides an iterable pipeline for accurate ChIP-exo peak calling

Ina Bang, Sang‐Mok Lee, Seojoung Park et al. · Briefings in Bioinformatics · 2023 · 10 citations

Life Sciences, Bioinformatics, Molecular Biology +8

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