Publications

A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning

Jacobus, C. Chabanier, S. Harrington, P. Emberson, JD. Lukic, Z. Habib, S, "A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning." (2025)

Closing the resolution gap in Lyman alpha simulations with deep learning

Jacobus, C. Harrington, P. Lukic, "Closing the resolution gap in Lyman alpha simulations with deep learning." NeurIPS: Machine Learning and the Physical Sciences (2022)

Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning

Jacobus, C. Harrington, P. Lukic, "Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning." NeurIPS: The Astrophysical Journal (2023)

Machine-Learning enabled analysis of ELM filament dynamics in KSTAR

Jacobus, C. Kube, R. "Machine-Learning enabled analysis of ELM filament dynamics in KSTAR." Pre-print