August 2026
Last year, we announced that Predici 64 was in development. Since spring 2026, the new version has been in productive use, undergoing extensive testing under demanding real-world conditions.
The result: Predici 64 is fast, stable, and ready for large-scale simulation work.
Its redesigned 64-bit architecture delivers simulation speeds of up to four times those of the previous 32-bit version. With access to memory beyond the former 4 GB limit, Predici 64 can handle larger models, broader parameter variations, and extended training runs with ease.
Key advances include:
- Up to four times faster simulations, for both deterministic and Monte Carlo calculations
- Parallel execution of multiple recipes, making efficient use of modern multi-core processors
- Enhanced hybrid Monte Carlo algorithms, with optimized chain and topology handling
- Extended scripting capabilities
- Numerous additional functional enhancements throughout the software
Together, these improvements open up new possibilities for model development and simulation — from more complex models and broader recipe exploration to larger, more demanding simulation studies.
Development continues: parallel replica mode for hybrid Monte Carlo simulations is scheduled for release in autumn 2026.
Predici 64 is available now — and proving itself every day.
🔔Predici 64 is here
August 2026
Last year, we announced that Predici 64 was in development. Since spring 2026, the new version has been in productive use, undergoing extensive testing under demanding real-world conditions.
The result: Predici 64 is fast, stable, and ready for large-scale simulation work.
Its redesigned 64-bit architecture delivers simulation speeds of up to four times those of the previous 32-bit version. With access to memory beyond the former 4 GB limit, Predici 64 can handle larger models, broader parameter variations, and extended training runs with ease.
Key advances include:
Together, these improvements open up new possibilities for model development and simulation — from more complex models and broader recipe exploration to larger, more demanding simulation studies.
Development continues: parallel replica mode for hybrid Monte Carlo simulations is scheduled for release in autumn 2026.
Predici 64 is available now — and proving itself every day.
Hybrid Monte Carlo strategies at PRE 2026
We are pleased to be preparing a joint poster with Professor Busch’s group at TU Darmstadt:
Hybrid Monte Carlo Strategies for Polymer Reaction Models
Using an LDPE polymerization model including long-chain branching and β-scission, the poster compares two complementary hybrid Monte Carlo strategies and their different approaches to representing polymer chains.
✅ New Predici Release Available
July 2026
Version 12.1.x “Turing” is now available for download by registered users through their usual access point.
Polymer Reaction Engineering XII
June 2025
CiT founder Dr. Michael Wulkow delivered a keynote address at Polymer Reaction Engineering XII and hosted an open, three-hour hands-on workshop introducing key concepts of model building and parameter estimation using Predici.
It was great to reconnect with many colleagues and users at PRE!
CiT continues partnership with KBC
May 2025
With the Predici Maxwell release and the next version of Petro‑SIM, several powerful new features are now available for integrated process simulation.
A key addition is the new shooting control mechanism, enabling seamless modeling of countercurrent cooling in plug flow reactors (PFRs) and dynamic online tuning of process behavior.
Predici models — including those using full distribution mode — can now be effortlessly embedded into Petro‑SIM flowsheets, allowing detailed kinetic and polymer modeling to be part of plant-wide simulations.
This extended interoperability opens up new possibilities for polymerization modeling within larger process frameworks.
The integration was developed in collaboration with KBC (a Yokogawa company) and is available to licensed users.
The Predici–Petro‑SIM collaboration began in 2022, combining Predici’s strength in polymer reaction modeling with Petro‑SIM’s advanced flowsheeting capabilities for steady-state and dynamic simulation. From the start, the goal was to make detailed, reusable polymer models directly accessible within larger process designs — without added coding or interface development.
Free-Radical Homopolymerization Kinetics of Biobased Dibutyl Itaconate
Multiscale modeling of the microbial production of polyhydroxyalkanoates using two carbon sources
PhD thesis of Niklas Wulkow, former CiT researcher: Modelling Observations of Dynamical Systems with Memory
Determination of reactivity ratios for acrylic acid and its dimer from classical parameter estimation and Bayesian approach
Deterministic and Stochastic Parameter Estimation for Polymer Reaction Kinetics I: Theory and Simple Examples