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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
publications
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
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)
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)
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)
