Computational Materials Science Collaborations

More on how Granta supports simulation and ICME 


Type: Active Collaborative Project


Partners: Luxembourg Institute of Science and Technology (LIST), Politecnico di Torino, Institut National des Sciences Appliquées de Lyon, Granta Design, University of Trieste, Dow Chemical, Technical University of Prague, ESTECO, Airbus, e-Xstream Engineering, ESI-Group

The mission of COMPOSELECTOR is to develop a business decision support system (BDSS) which integrates materials modelling, business tools and databases into a single workflow to support the complex decision process involved in the selection and design of polymer-matrix composites (PMCs). It will develop an open integration platform which enables interoperability and information management of materials models and data and connects a rich ‘materials modelling layer’ with industry standard business process models. Granta is providing an enterprise-level materials information database to represent the end-users for materials information management (experimental, virtual) which will underpin the BDSS and interact with the modelling platform (MuPIF). Granta will also support business decisions directly with applications for risk management (REACH, cost, environment, etc.), and workflow capability.


Type: Active Collaborative Project

Partners: TU Wien, Fraunhofer, Goldbeck Consulting, Politecnico di Torino, Uppsala University, DOW, EPFL, Sintef, Dutch Polymer Institute, Access e.V., Helmholtz-Zentrum, Materials Design Sarl, QuantumWise A/S, University of York

The European Materials Modelling Council Coordination and Support Action (EMMC-CSA) will develop a common understanding of the requirements of materials modelling within Europe. It will organise workshops to collect and compile input from stakeholders to set a common direction in areas including model development, interoperability and metadata, best practices for business decision support tools, and articulating economic and business impacts.


Type: Active Collaborative Project

Partners: DOW, Unilever, Megara Resins, IBM, Fraunhofer, Enthought, Enginsoft, Uni. Patras, ETH Zurich

The project aims to develop a software and data framework to enable non-expert users to access materials simulation to support business decision making. Consultants, or ‘translators’, will help map end-user product requirements to the appropriate models. Guidance for how to undertake this translation is an expected outcome. The project focusses on three industrial end user cases by means of demonstration case study materials. The project is linked to the European Materials Modelling Council (EMMC). Granta will provide project data management to the project, based on the GRANTA MI materials information management system, and provide guidance on data transfer between the systems in some key workflows.

AMAZEComputational Materials Data Network

Type: Industry Group


The Computational Materials Data Network (CMD Network)—founded by ASM International—supports, facilitates, and promotes the collection, dissemination, and management of materials data. Launched in response to the U.S. Materials Genome Initiative, the network aims to advance materials development and deployment by facilitating information sharing within the materials community. View the History of CMD Network. The CMD Network supports advanced computational materials science and engineering by facilitating the completion of materials-related projects through interactive data sharing and collaboration. To propagate thorough and reliable materials data, the CMD Network conducts Materials Data Management Support Services and Materials Data Demonstration Projects, which dynamically interact with the Materials Data Laboratory™. Granta provides key enabling technology.