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CORDIS - EU research results
CORDIS

Highly efficient technologies for increased yields in steelmaking processes and reduced environmental impact

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan - M6 (opens in new window)

Preparation document for the exploitation strategy for industrializationD7.5 is the result of Task 7.3

Technology Watch Report M12 (opens in new window)

A technology watch report will be generated at M12 to report the observation. D1.2 is the result of Task 1.4

Plan for Communication, Dissemination and Exploitation activities - M18 (opens in new window)

Communication and dissemination plan status M18.D7.2 is the result of Task 7.1

Plan for Communication, Dissemination and Exploitation activities - M6 (opens in new window)

Communication and dissemination plan status M6D7.1 is the result of Task 7.1

Publications

Understanding ice and water film formation on soil particles by combining DFT and Casimir-Lifshitz forces (opens in new window)

Author(s): Boström, M.; Kuthe, S.; Carretero-Palacios, S.; Esteso, V.; Li, Y.; Brevik, I.; Gopidi, H. R.; Malyi, O. I.; Glaser, B.; Persson, C.
Published in: Condensed Matter, 2023, ISSN 1234-5679
Publisher: Cornell University
DOI: 10.48550/arxiv.2309.08240

Tuning the Casimir-Lifshitz force with gapped metals (opens in new window)

Author(s): M. Boström, M. R. Khan, H. R. Gopidi, I. Brevik, Y. Li, C. Persson, and O. I. Malyi
Published in: Physical Review B, 2023, ISSN 1234-5679
Publisher: Advancing Physics
DOI: 10.1103/PHYSREVB.108.165306

van der Waals induced ice growth on partially melted ice nuclei in mist and fog (opens in new window)

Author(s): M. Boström, Y. Li, I. Brevik, C. Persson, S. Carretero-Palacios and O. I. Malyi
Published in: Physical Chemestry Chemical Physics, 2023, ISSN 1234-5679
Publisher: Royal Society of Chemistry
DOI: 10.1039/D3CP04157C

DOES - A multimodal dataset for supervised and unsupervised analysis of steel scrap (opens in new window)

Author(s): Michael Schäfer, Ulrike Faltings & Björn Glaser
Published in: Science Data, 2023, ISSN 1234-5679
Publisher: Nature
DOI: 10.1038/S41597-023-02662-6

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