FMM-AutoOpt: A Python Tool for Automated GROMACS FMM Parameter Optimization

The fast multipole method (FMM) for computing Coulombic forces in molecular dynamics (MD) simulations offers benefits for a variety of systems, including nonperiodic configurations such as molecules in vacuum and large-scale systems where many other approaches encounter limitations. Because FMM parameters govern both simulation accuracy and computational performance, and because the optimal solution is highly system-dependent, we have developed FMM-AutoOpt for the automated benchmarking of FMM parameters with GROMACS. Relying solely on standard Python libraries and GROMACS FMM (Kohnke, B.; et al.J. Chem. Theory Comput.2020, 16, 6938–6949.), the tool is versatile and flexible, facilitating rapid parameter screening to ensure optimal performance and high simulation accuracy.