PyBaMM enables efficient simulations of battery performance and aging, accelerating battery design and innovation.

The flexible nature of PyBaMM allows for quick model interchangeability, making it useful in different stages of battery R&D.

PyBaMM is open source, which means anyone can use, modify, and distribute the software. This makes it accessible to researchers worldwide, enhancing global battery technology research.

PyBaMM’s model library includes a wide range of physics-based models, making it a vital tool in diverse battery research.

PyBaMM includes data visualization tools that enable researchers to better interpret their simulation results, facilitating the identification of trends and potential improvements.

PyBaMM can be combined with any of the advanced data science and machine learning tools in Python’s extensive ecosystem.