Star formation is a crucial process throughout astrophysics that underpins the evolution of galaxies, stellar populations and the conditions for the birth of planets around young stars. We propose to carry out several suites of numerical simulations that investigate star formation, and associated planet formation, across a wide range of scales, connected with the large scale compute proposal NAISS 2024/1-27. We will study large-scale star formation in galaxies (sub-project A), spanning domains of ~millions of light years), with a focus on the early formation and growth of galaxies, including their supermassive black holes (SMBHs). Such studies are particularly relevant to interpret latest observations from JWST. In a related storage proposal on Vera, we will examine intermediate-scale star formation as found in giant molecular clouds (GMCs) (spanning domains of ~hundreds of light years). Further, we will investigate star formation on very small scales (sub-project C), carrying out very high resolution simulations of the accretion of gas to stellar surfaces (spanning domains of ~light hours, i.e., Solar-System scales). For this we will resolve inner regions of the disk of gas that mediates accretion and growth of a star, studying cases relevant to low-mass stars, like our Sun, and high-mass stars, i.e., > 8Msun, that eventually explode as supernovae. This accretion disk also launches powerful outflows, i.e., “disk winds”, that are important for regulating the efficiency of star formation. Finally, we will study the birth of planets in the disks around young and forming stars (sub-project D). We will carry out simulations of dust grain growth into macroscopic "pebbles" and the implications for seeding, growth and chemical composition of planetesimals and protoplanets, especially exploring the scenario of "Inside-Out Planet Formation" proposed by the PI. This work is highly relevant for the ESA Ariel mission to study the chemical composition of exoplanet atmospheres. The PI has coordinated Sweden's membership in the Ariel mission with support from SNSA. The simulations to be performed in the above sub-projects will utilize grid-based simulation codes (i.e., RAMSES, Enzo, PLUTO, DustPy), having a common theme of following magnetohydrodynamics (MHD) and detailed treatments of thermodynamics, i.e., heating and cooling processes. Our group has extensive experience in using and developing these codes, and all four sub-projects have significant prior background work either already published or in an advanced state of preparation. This is a new storage proposal associated with the continuing Large Compute proposal (2024/1-27).