PREDICI – Advanced Polymerization Modeling
Predici is the leading simulation environment for dynamic modeling of macromolecular processes. Its unique Galerkin h‑p-algorithm enables rigorous computation of complete molecular weight distributions — even in highly complex systems. Built on a unified framework, it handles not only polymer kinetics, but also full process modeling, including recipes, reactor cascades, and spatial systems.
Check out the new Predici 11 overview and the tremendous new features of Predici version “Maxwell”.
Trusted in both research and industry, Predici has been applied to all types of radical and living copolymerization, polycondensation, emulsion processes, Ziegler-Natta systems, and more. It also supports non-polymer kinetics and size distribution modeling, including crystallization processes.
With decades of proven performance, Predici is the tool of choice for advanced modeling in polymer and kinetic systems — combining scientific depth with practical usability.
Some Key Features
- Rigorous molecular weight distributions via Galerkin h‑p-method
- Extensive reaction templates: propagation, termination, transfer, branching, cross-linking, degradation, depolymerization, degradation, chain-length dependent reactions and many more
- Multi-monomer copolymerization with composition tracking
- Full support for emulsion, suspension, and other heterogeneous systems
- Parameter estimation with global and local solvers, plus distribution fitting
- Scrip engine for custom reaction rates, equations, and outputs
- Real-time simulation output and full COM/OLE integration
- Hybrid Monte Carlo solver
- Reusable project-based model structure with high reproducibility
PREDICI
