Machine learning and computational fluid dynamics (CFD) are opening new paths in scientific research, particularly in lattice quantum chromodynamics (QCD). This study focuses on advancing multilevel domain decomposition techniques to increase the scalability and efficiency of lattice QCD computations on exascale supercomputers. Lattice QCD is the pre-eminent ab initio method for solving the fundamental theory of the strong interaction, quantum chromodynamics, in the low-energy regime. Its indispensable role in exploring the precision limit of the … Continue reading MG4ML