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TOPIC : Network to capitalise on strong European position in materials modelling and to allow industry to reap the benefits

Topic identifier: NMBP-24-2016
Publication date: 14 October 2015

Types of action: CSA Coordination and support action
Opening date:
15 October 2015
Deadline: 21 January 2016 17:00:00

Time Zone : (Brussels time)
  Horizon 2020 H2020 website
Pillar: Industrial Leadership
Work Programme Year: H2020-2016-2017
Topic Description
Specific Challenge:

Predictive multi-scale material modelling has the potential to enable economic advantages for all manufacturing industries. There is a need for enhanced and effective interaction between all stakeholders, in particular between those engaged in different types of materials modelling (electronic, atomistic, mesoscopic and continuum materials, process and device modelling) and between translators, who translate industrial problems into materials modelling and manufacturers. In addition a lack has been identified for clear road maps for research on the application and use of materials modelling in industry. Moreover, there is a need to collate different methodologies and support further development of standards for efficient and effective implementation and use of materials modelling tools. Also there is a need to increase the interoperability of software to facilitate integration of various tools in processing and product design.


The proposed coordination and support action should network the stakeholders and a platform is to be established to advance the use of materials models by industry and to agree on open tools with the wide stakeholder community.

Road Maps for materials and related product and process modelling in industry with a focus on how discrete (electronic, atomistic and mesoscopic) models can be further developed and coupled or linked to continuum models are to be elaborated. The proposers should support the elaboration of methodologies and workflows.

A materials modelling data repository of validated sources should be designed with coherent and concerted connections. Existing communication standards between models and databases should be further developed, alleviating the language gap between different vocabularies. An open simulation platform based on these standards should be designed to allow the flexible use of software components of different vendors. Provision of validated data by third parties should be stimulated.

Benchmarking of tools and experimental data should be supported.

A jointly agreed guidance on software development for academics is to be established and promoted so that such software can be used by industry. Technology Readiness Levels for software, which could help in selecting the right model/software for the end user, should be agreed with the wide community.

The translation of industrial problems into material problems that can be solved by computational simulation should be facilitated.

Training and dissemination should be stimulated across Europe to make the different stakeholders aware of the technical and economic benefits of active use of discrete and continuum materials modelling throughout company operations.

Networking activities such as developing interest groups, workshops, training events, market studies and engaging with regulatory and benchmarking authorities if appropriate can be included.

The Commission considers that proposals requesting a contribution from the EU between EUR 3 and 4 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

No more than one action will be funded.

Expected Impact:
  • Improved accessibility of materials modelling and related databases by manufacturing end-users;
  • Increased integration of discrete (electronic, atomistic, mesoscopic) and continuum materials models and databases for industrial use;
  • Increased efficiency and industrial effectiveness of materials models in industry and research;
  • Establishment of technical and business-related quality attributes (Key Performance Indicators) that inspire trust in materials modelling;
  • Industrial best practice (methodologies) for end-users increasing speed of development in industries.
Topic conditions and documents

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    3.1  Evaluation criteria and procedure, scoring and threshold: described in part H of the General Annexes of the General Work Programme , with the following exceptions:

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