Parsival is a dedicated simulation environment for the dynamic modeling of particle systems — with a strong focus on crystallization, precipitation, dispersions, and other size-evolving processes. It is based on population balance equations (PBEs), including partial-integro-differential equations, and supports a wide range of particle kinetics such as nucleation, growth, breakage, and agglomeration.

Check out the new Parsival overview.

What sets Parsival apart is not just its solver capabilities, but its structured modeling approach. Users define reaction step patterns and process configurations using modular tools — without writing equations. Parsival also supports PDEs for spatial effects, advanced boundary conditions, and two-phase interactions.

Parameter estimation is fully integrated, including fitting full particle size distributions (PSDs) from experimental data. Combined with real-time simulation output, scripting capabilities, and a reusable project structure, Parsival enables fast, transparent model development — even for complex systems.

Applications include industrial crystallization, nanodispersion, bio-pellets, aerosols, polymer particles and droplet coalescence. With a flexible architecture and a shared code base with Predici and Presto-Kinetics, Parsival benefits from the same robust numerical infrastructure, solver integration, and COM/OLE support.