Processes that involve the transport of electrically charged species in fluids consisting of multiple phases, such as liquids and gases, are fundamental in energy production, energy storage, healthcare, and manufacturing. Important examples include energy storage systems such as batteries, hydrogen production, medical diagnostic devices, and manufacturing processes. Despite their importance, accurately modeling these processes remains challenging due to their complex interactions and varied scales ranging from microscopic interfaces to large-scale systems. Addressing these challenges can significantly enhance the performance, efficiency, and affordability of critical technologies, particularly in energy production and storage. This project develops an accessible, advanced simulation framework that enables scientists and engineers to effectively model and optimize these vital electrochemical processes. By simplifying complex computational challenges, the project accelerates innovations across several crucial sectors, benefiting society through improved energy technologies, healthcare applications, and industrial processes. Educational activities and community training are integral components, aimed at increasing STEM participation and training a workforce skilled in cutting-edge technologies. This project develops an architecture-agnostic computational framework called FASTEST (Framework for Advanced Simulation of multiphaSe ElecTrochemical Systems). FASTEST provides scalab