| The camels multifield data set: Learning the universe’s fundamental parameters with artificial intelligence F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ... The Astrophysical Journal Supplement Series 259 (2), 61, 2022 | 59 | 2022 |
| Dark matter deficient galaxies produced via high-velocity galaxy collisions in high-resolution numerical simulations E Shin, M Jung, G Kwon, J Kim, J Lee, Y Jo, BK Oh The Astrophysical Journal 899 (1), 25, 2020 | 46 | 2020 |
| Machine-assisted semi-simulation model (MSSM): estimating galactic baryonic properties from their dark matter using a machine trained on hydrodynamic simulations Y Jo, J Kim Monthly Notices of the Royal Astronomical Society 489 (3), 3565-3581, 2019 | 34 | 2019 |
| The CAMELS project: public data release F Villaescusa-Navarro, S Genel, D Anglés-Alcázar, LA Perez, ... The Astrophysical Journal Supplement Series 265 (2), 54, 2023 | 26 | 2023 |
| Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables Y Jo, S Genel, B Wandelt, RS Somerville, F Villaescusa-Navarro, ... The Astrophysical Journal 944 (1), 67, 2023 | 9 | 2023 |
| The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites Y Ni, S Genel, D Anglés-Alcázar, F Villaescusa-Navarro, Y Jo, S Bird, ... The Astrophysical Journal 959 (2), 136, 2023 | 7 | 2023 |
| High-redshift Galaxy Formation with Self-consistently Modeled Stars and Massive Black Holes: Stellar Feedback and Quasar Growth J Kim, JH Wise, T Abel, Y Jo, JR Primack, PF Hopkins The Astrophysical Journal 887 (2), 120, 2019 | 1 | 2019 |
| The CAMELS Multifield Dataset: Learning the Universe’s Fundamental Parameters with Artificial Intelligence. arXiv e-prints, art F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ... arXiv preprint arXiv:2109.10915, 2021 | | 2021 |
| From dark matter to baryons in a simulated universe via machine learning Y Jo The Bulletin of The Korean Astronomical Society 45 (1), 50.2-50.2, 2020 | | 2020 |
| The fate of an infalling circumgalactic gas clump and the growth of the central massive black hole in a high-redshift quasar Y Jo, J Kim The Bulletin of The Korean Astronomical Society 45 (1), 35.1-35.1, 2020 | | 2020 |
| Machine-assisted Semi-Simulation Model (MSSM): Predicting Galactic Baryonic Properties from Their Dark Matter Using A Machine Trained on Hydrodynamic Simulations Y Jo, J Kim The Bulletin of The Korean Astronomical Society 44 (2), 55.3-55.3, 2019 | | 2019 |
