FORCE
Formulations and Computational Engineering
Materials
The project aimed to develop an open integrated framework that connects materials models at various levels of complexity, experimental data sets and commercial information (e.g. ingredients and processing costs), so that decision makers can use a wider variety of key performance indicators. These are combined with multi-criteria optimization algorithms to identify the optimal trade off when making a business decision, considering appropriate formulation and business constraints.
FORCE brings materials modelling into the center-stage of business by combining it with advanced machine learning approaches for handling big data, empowering decision makers through the provision of rapid avenues to optimize existing, and design new products to enhance the position of European industries in their global markets.
FORCE brings Materials modelling, business tools and databases into a single workflow:
EnginSoft’s role was to integrate the Business Decision Support System (BDSS) platform using interoperability and open simulation platform principles. In addition, EnginSoft developed the user interfaces and the workflow management technologies.
EFRAUNHOFER SOCIETY - FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG, DOW BENELUX BV, ENGINSOFT SPA, ENTHOUGHT LTD, GRANTA DESIGN LTD, IBM RESEARCH GMBH, PANEPISTIMIO PATRON, ETH ZURICH - R. EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH, UNILEVER U.K. CENTRAL RESOURCES, MEGARA RESINS - VIOMICHANIA RITINON MEGARON ANASTASIOS FANIS ANONYMOS ETAIRIA
Funding Scheme Horizon2020 | Call identifier H2020-NMBP-23-2016-two-stage
48 months
January 2017 - December 2020
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG
Giovanni Borzi
10
Some of our competences in research and technology transfer
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Research project
The project aimed to develop an open integrated framework that connects materials models at various levels of complexity, experimental data sets and commercial information (e.g. ingredients and processing costs), so that decision makers can use a wider variety of key performance indicators.