Hyunwook Jung

Exploring catalytic reaction networks with machine learning

Johannes T. Margraf, Hyunwook Jung, Christoph Scheurer et al. · Nature Catalysis · 2023 · 140 citations

Engineering, Machine Learning, Data Science +4

A foundation model for atomistic materials chemistry

Ilyes Batatia, Philipp Benner, Yuan Chiang et al. · The Journal of Chemical Physics · 2025 · 61 citations · Full text

Machine-learning driven global optimization of surface adsorbate geometries

Hyunwook Jung, Lena Sauerland, Sina Stocker et al. · npj Computational Materials · 2023 · 56 citations · Full text

Large-scale Global Optimization, Engineering, Machine Learning +20

Design of highly efficient adsorbents for removal of gaseous methyl iodide using tertiary amine-impregnated activated carbon: Integrated experimental and first-principles approach

Keon Ho, Hoje Chun, Hyung Chae Lee et al. · Chemical Engineering Journal · 2019 · 46 citations

Chemical Engineering, First-principles Approach, Engineering +8

Size‐Extensive Molecular Machine Learning with Global Representations

Hyunwook Jung, Sina Stocker, Christian Künkel et al. · ChemSystemsChem · 2020 · 43 citations · Full text

Global Ml Models, Engineering, Global Representations +15