pyZacros
A Python library to handle Kinetic Monte Carlo codes.
Software platform for multiscale modelling of reactive materials and processes
Computational physics-based modeling approaches are emerging as highly promising in the development of new catalytic materials and reactive processes, to complement or replace trial-and-error experimentation and use of empirical kinetics. To enable high-fidelity, first-principles-based reactor scale simulations for process design, ReaxPro will integrate a set of academic (EON, Zacros, CatalyticFOAM) as well as commercial (ADF Modeling Suite) software tools into easy-to-learn, user friendly, interoperable software that is supported and well documented. The ReaxPro Software platform and associated services will be made available via the European Materials Modelling Marketplace through the consortium’s partnership with ongoing EU projects MarketPlace and Virtual Materials Market Place (VIMMP).
The Netherlands eScience Center will be mostly involved in improving the interoperability between the various software packages, by developing API’s and tools for workflow generation and execution, e.g. using common workflow language and/or multiscale modeling platforms. We will aim for a modular platform architecture that supports current community standards and that enables easy exchange and reuse of models and workflows within the material science community. Data and models will be made FAIR. Interoperability will be guaranteed by implementing linked data approaches based on community adopted ontologies, such as the European Materials Modelling Ontology (EMMO) and by building on previous efforts such as the SimPhoNy project.
Project page: reaxpro.eu
A Python library to handle Kinetic Monte Carlo codes.
This application ontology is dedicated to the ReaxPro framework for the multi-scale modeling of catalytic materials.
This repository is a collection of wrappers used in the ReaxPro project. It holds wrappers for the Amsterdam Modeling Suite (AMS) and Zacros.