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. In particular, related to this storage proposal, we will examine intermediate-scale star formation as found in giant molecular clouds (GMCs) (spanning domains of ~hundreds of light years). Most stars in our Galaxy, the Milky Way, are born in GMCs and these objects can be resolved in great detail by radio and infrared telescopes, including ALMA and JWST. Here, our focus is to model the chemical evolution in collapsing, magnetized clouds, just before they form stars. This is essential to understand the physical evolution, since chemistry affects the ionization degree and thus the coupling of gas to magnetic fields, which are known to regulate the collapse. The chemistry also sets the abundances of various molecules that act as important diagnostic tracers of the clouds that can be observed by ALMA and JWST. The simulations to be performed in the large compute proposal 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 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).