Showing 1–13 of 13 results
/ Date/ Name
Aug 26, 2019Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic SimulationsAug 6, 2024Evolution of Star Cluster Within Galaxy using Self-consistent Hybrid Hydro/N-body SimulationOct 29, 2024On the Significance of Covariance for Constraining Theoretical Models From Galaxy ObservablesNov 29, 2022Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observablesFeb 18, 2025Towards Robustness Across Cosmological Simulation Models TNG, SIMBA, ASTRID, and EAGLEMar 18, 2026Evolution of Nuclear Star Cluster in Dwarf Galaxy through Mergers and In-Situ Star FormationApr 4, 2023The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suitesJul 20, 2020Dark Matter Deficient Galaxies Produced Via High-velocity Galaxy Collisions In High-resolution Numerical SimulationsApr 6, 2026Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural NetworksOct 28, 2019High-redshift Galaxy Formation with Self-consistently Modeled Stars and Massive Black Holes: Stellar Feedback and Quasar GrowthJan 4, 2022The CAMELS project: public data releaseSep 3, 2024Inferring Cosmological Parameters on SDSS via Domain-Generalized Neural Networks and Lightcone SimulationsSep 22, 2021The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence