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Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations

, , and . (2015)cite arxiv:1510.07659Comment: 15 pages, 20 figures, 6 tables. Submitted to MNRAS. Comments welcome.

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Machine Learning and Cosmological Simulations II: Hydrodynamical Simulations, , and . (2015)cite arxiv:1510.07659Comment: 15 pages, 20 figures, 6 tables. Submitted to MNRAS. Comments welcome.Computing environments for reproducibility: Capturing the "Whole Tale"., , , , , , , , , and 4 other author(s). Future Gener. Comput. Syst., (2019)Second Workshop on on Sustainable Software for Science: Practice and Experiences (WSSSPE2): Submission, Peer-Review and Sorting Process, and Results., , , , , , , , and . CoRR, (2014)Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery., , , , , , and . DataCloud@SC, page 24-31. IEEE Computer Society, (2016)Dwarf Galaxies with Ionizing Radiation Feedback. II: Spatially-resolved Star Formation Relation, , , , , and . (2012)cite arxiv:1210.6988Comment: 13 pages, 12 figures, submitted for publication in the Astrophysical Journal, Image resolution greatly reduced, High-resolution version of this article is available at http://www.jihoonkim.org/.ENZO: An Adaptive Mesh Refinement Code for Astrophysics, , , , , , , , , and 19 other author(s). The Astrophysical Journal Supplement Series, 211 (2): 19 (2014)How to Scale a Code in the Human Dimension. CoRR, (2013)Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments., , , , , , and . CoRR, (2016)ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6)., , , , , , , , , and 45 other author(s). J. Open Source Softw., 4 (42): 1636 (2019)widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt., and . J. Open Source Softw., 5 (45): 1774 (2020)