Cosmological simulations are powerful tools to understand the growth of structure in the universe. This understanding is interesting and important in its own right, but also is essential for extracting precise information about fundamental physics – such as dark energy and dark matter – from upcoming astronomical surveys. The CCG@CFT PAN is employing large cosmological simulations run on modern supercomputers to study the phenomena of dark matter, and dark energy (including modified gravity) and their connection to galaxy formation, evolution, and distribution as charted and mapped by the observational galaxy photometric and spectroscopic surveys. In our work we employ the most advanced computational methods and data algorithms including machine learning, bayesian inference and constrained gravity-only and hydrodynamical simulations.