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PINK workshop for Innovative Advanced Materials Initiative (IAM-I) presenting its capacities for SSbD implementation in industrial innovation and re-design workflows

Year: 2025

Type: article

Abstract: This data entry contains workshop materials for avaiable from the PINK IAM-I workshop for intrucing the project's capacities for industrial application of PINK computational workflows to optimize advanced materials' and chemicals SSbD profiles. It includes four video clips: intro on the SSbD context and the PINK project by Martin Himly data-driven and physics-based modeling procedures by Philip Doganis and Andrea Lorenzoni intro to LCA by Marc Majo and Antonino Marvuglia outline of the potential involvement as industry demonstrators in PINK by Thomas Exner It further contains the respective slides from the presenters and a machine-readable txt-formatted README file for FAIR data sharing.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15020708

Authors: Doganis, Philip, Lorenzoni, Andrea, Majó, Marc, Marvuglia, Antonino, Marina Serantoni, Exner, Thomas E., Himly, Martin

Institutions: University of Bologna, Universitat de Barcelona, Luxembourg Institute of Science and Technology, Seven Past Nine, University of Salzburg

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: green

OpenAlex ID: W6893138785

FWCI:

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