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Adoption in Industrial Ecosystems

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About people, processes, models, and data as ingredients to make a lasting impact in industry ...

Industrial Impact is a core objective of EMMC. This Focus Area is concerned with all dimensions that play a role in impactful use of materials modelling in industry, in particular People (e.g. Training, Translators), Processes (e.g. Translation, Integration of materials modelling into business workflows), Models (e.g. readiness and management of software, integrated platforms, multi-scale modelling) and Data (e.g. documentation, management, analysis).

The Focus Areas can draw on a number of Outcomes of the EMMC and related projects, including a Maturity Model for Materials Modelling, White Papers on Strategies for industry to engage in materials modelling and the Economic Impact of Materials Modelling as well as the EMMC Translators Guide.

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Highlights

EMMC 2025 - 5th EMMC International Workshop

APR 10, 10:50 | This FA hosted Session 5 - Adoption in industrial ecosystems with speakers from Luxembourg, United Kingdom and Germany
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EMMC 2025 - 5th EMMC International Workshop

APR 10, 09:05 | Eva-Kathrin Schillinger (IAM-I, Belgium) gave a FA related PLENARY TALK on IAM4EU – the new co-programmed public private partnership for Advanced Materials under Horizon Europe
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Objectives

  • People: Elaborate recommendations for a workforce that enables increased industrial impact. This activity includes identifying skills gaps, supporting relevant training of experts as well as occasional users, strengthening the role of Translators, improving understanding of the best mix of skills to support a wide use of modelling activities in companies.
  • Processes: Improve understanding of the integration of modelling in industry to work out best practice workflows at different levels of the organisation, from the research team to the business. It includes Business Decision Support Systems.
  • Models: Supporting industry in making the right choices for model selection and improved management and use of models for organisational and specialised application purposes.
  • Data: Materials modelling consumes data and produces large amounts of data. How can this landscape best be managed, modelling and experimental data be combined, traceability be improved, data driven modelling be supported?

Leading Team

Leadership team:

Natalia Bedoya Martinez (Materials Center Leoben, AT), Daniel Hoeche (Helmholtz-Zentrum Hereon, DE), Peter Klein (Fraunhofer ITWM, DE),  Patrycja Polinska (Goodyear, LU) and Misbah Sarwar (Johnson Matthey, UK)

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Co-Chairs: