Since this article aims to demonstrate the functionalities of the BMM application, a simple script is presented here to calculate the gravimetric cell energy density. The script is written in Python by taking approximations so that the computations are fast. However, physics-based and/or data-driven models, as reported in our previous works , can also be used to predict the output properties of products of each process more accurately in the near future. In this script, the energy density at the cell level is taken to be dependent on the format of the cell, the chemistry, formulation, and the electrode properties, such as thickness, density, and porosity. However, it might also be that other cell properties affect the cell energy density, such as the extent of ionic and electronic percolation in each electrode, surface area for SEI formation and so on, which are not considered in the current version of the BMM. Again, the latter aspects can be included later because of the flexibility of the BMM environment design.