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Hyeongjun Park

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Aug 2026

Data-driven interpretation of mixed-culture polyhydroxyalkanoate accumulation using dual-target machine learning framework.

Polyhydroxyalkanoate (PHA) accumulation in mixed-culture feast-famine systems reflects nonlinear interactions among nutrient availability, biomass retention, and reactor operation, making it difficult to distinguish the factors associated with intracellular storage. Conventional single-target models based on end-of-fea...

Seongbong Heo, Hyeongjun Park, Sangchul Lee et al. · 0 citations
Open access Jul 2026

Machine Learning-Based Interpretation of Operating Conditions for Enriching Polyhydroxyalkanoate-Accumulating Microorganisms

The results suggest that operating control selectively shapes key PHA-associated microorganisms rather than the entire community as a data-driven basis for defining operating windows for MMC-based PHA enrichment and AI-assisted process optimization.

Seongbong Heo, Hyeongjun Park, Young Mo Kim · 0 citations

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