Predici

Predici

…is the leading simulation package for the modeling and dynamic simulation of macromolecular processes. The unique Galerkin h-p-method enables the rigorous computation of complete molecular weight distributions of any form up to any degree of polymerization. But Predici is much more, it handles all balances of a process, including industrial recipes and reactor cascades and it contains an outstanding parameter estimation tool.

Check out the new Predici 11 overview and the tremendous new features of Predici version 2024 "Maxwell".

Predici has been successfully applied to processes like radical copolymerization, living-radical polymerization, emulsion polymerization, polycondensation, suspension polymerization, Ziegler-Natta-catalysis, polymer degradation, ionic polymerization and pulsed-laser polymerization. There are numerous examples where Predici has provided first-time or reference solutions.

All simulation results are presented in online-graphs during simulation or optimization runs. Import and export of results and data in text files or via the COM-interface ensure the communication with other program packages (CiT's software products can be used both as OLE-server and as OLE-client). All implemented numerical algorithms include self-adaptive grid and time-step controls based on robust error-control mechanisms. They lead to convincing solutions both in efficiency and in accuracy.

Features

  • Rigorous treatment of complete molecular weight distributions in arbitrary polymerization processes
  • Reaction step patterns for propagation, termination, transfer (monomer, agent, polymer), depolymerization and polymer degradation, description of oligomers, chain-length dependent reactions and many more
  • Copolymerization with any number of monomer species
  • Treatment of composition and branching distributions in heterogeneous systems
  • Comprehensive parameter estimation tool including distribution fit
  • Temperature- and pressure profiles as well as recipes for reactors or cascades of reactors
  • Manipulation of kinetic rate coefficients and reactants by use of an interpreter mechanism
  • Analysis of polymer properties
  • Input of measured concentrations as well as molecular weight distributions
  • Hybrid Monte-Carlo solver in Predici 11
  • Uncertainty Quantification of parameter estimation