Tag Archives: Modelling

2ND CO-CREATION WORKSHOP

Posted on

NMBP-35 Horizon 2020 Projects NanoMECommons, Charisma, and Easi-stress will co-host a hybrid Workshop event and would like to invite you to join in person!

Workshop Title

Materials characterization and software tools as key enablers in NMBP-35 projects: Towards industrial transition and wider acceptance of new methods and products

Date and Location 

The workshop will be held on Thursday the 24th November 2022, as a hybrid event (Athens/online), and is supported by European Materials Characterisation Council (EMCC).

Thematic Areas

The outcomes of the workshop will be used for an Open Consultation Process, by identifying the community needs in accordance with EC directives and EMCC objectives in three key thematic areas:

  • Characterization/Standardization
  • Suites of multi-scale/AI modelling and characterization
  • Materials 2030 Roadmap: Characterization and modelling as horizontal enablers

Registration and Agenda

Registration Deadline: 11th November 2022

Agenda: Please find further Information via our websites.

Cost: Free, but registration is required!

EMCC Contact

Join us in EMCC fostering collaboration.

For further questions about the workshop, please contact us at emcc@characterisation.eu

New article in materials & design

Posted on

There is a new article available co-authored by Charitidis, Sebastiani and Goldbeck (2022) focusing on innovation in materials manufacturing for Industry 5.0. The article is available online with Materials & Design in Volume 223.

Abstract:

Recent advances in materials modelling, characterization and materials informatics suggest that deep integration of such methods can be a crucial aspect of the Industry 5.0 revolution, where the fourth industrial revolution paradigms are combined with the concepts of transition to a sustainable, human-centric and resilient industry. We pose a specific deep integration challenge beyond the ordinary multidisciplinary modelling/characterization research approach in this short communication with research and innovation as drivers for scientific excellence. Full integration can be achieved by developing common ontologies across different domains, enabling meaningful computational and experimental data integration and interoperability. On this basis, fine-tuning of adaptive materials modelling/characterization protocols can be achieved and facilitate computational and experimental efforts. Such interoperable and meaningful data combined with advanced data science tools (including machine learning and artificial intelligence) become a powerful asset for materials scientists to extract complex information from the large amount of data generated by last generation characterization techniques. To achieve this ambitious goal, significant collaborative actions are needed to develop common, usable, and sharable digital tools that allow for effective and efficient twinning of data and workflows across the different materials modelling and characterization domains.

Keywords: Industry 5.0; Ontology; Modelling; Materials characterization; Data interoperability

Licence: The article is accessible via Science Direct and with a Creative Commons (CC BY-NC-ND) licence, which means it is open access for everyone to read.

Citation: Charitidis, C., Sebastiani, M., & Goldbeck, G. (2022). Fostering research and innovation in materials manufacturing for Industry 5.0: the key role of domain intertwining between materials characterization, modelling and data science. Materials & Design, 111229. Available at: https://doi.org/10.1016/j.matdes.2022.111229

Image: Available via the citation.