European Industrial Doctorate in future efficient minerals analysis, processing and training

Project Information

MetalIntelligence

Grant agreement ID: 722677

DOI

10.3030/722677

Project closed

EC signature date 1 August 2016

Start date 1 September 2016

End date 31 August 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 1 596 958,56

EU contribution

€ 1 596 958,56

Coordinated by

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Ireland

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

Other (10)

New materials modules for reflective light microscopy on UK Virtual Microscope
Induction meeting

Induction week for all ESRs and members of the consortium

Numerical algorithm that empirically predicts the feedback loop between plant inputs and outputs
Awarding of doctoral degrees
Quantification of Ni and Mo content in pyrite
ESR position advertised

All 6 ESRs positions to be advertised

Multiple method estimation of modal mineralogy
MetalIntelligence final conference
High-resolution X-ray tomographaphic characterisation of ore samples
Project website and social media

Set up of project website and social media accounts

Websites, patent fillings, videos etc. (2)

New versions of on-line mining games
ESR short movies

Short movies about each of the ESRs research

Documents, reports (1)

PhD theses

PhD theses submitted

Publications

Peer reviewed articles (4)

Application of machine learning techniques in mineral phase segmentation for X-ray microcomputed tomography (µCT) data

Author(s): Pratama Istiadi Guntoro, Glacialle Tiu, Yousef Ghorbani, Cecilia Lund, Jan Rosenkranz
Published in: Minerals Engineering, Issue 142, 2019, Page(s) 105882, ISSN 0892-6875
Publisher: Elsevier BV
DOI: 10.1016/j.mineng.2019.105882

X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods

Author(s): Pratama Istiadi Guntoro, Yousef Ghorbani, Pierre-Henri Koch, Jan Rosenkranz
Published in: Minerals, Issue 9/3, 2019, Page(s) 183, ISSN 2075-163X
Publisher: MDPI
DOI: 10.3390/min9030183

Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)

Author(s): Pratama Istiadi Guntoro, Yousef Ghorbani, Alan R. Butcher, Jukka Kuva, Jan Rosenkranz
Published in: Natural Resources Research, 2020, ISSN 1520-7439
Publisher: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s11053-020-09685-5

Repurposing legacy metallurgical data Part I: A move toward dry laboratories and data bank

Author(s): Yousef Ghorbani, Glen T. Nwaila, Steven E. Zhang, Martyn P. Hay, Lunga C. Bam, Pratama Istiadi Guntoro
Published in: Minerals Engineering, Issue 159, 2020, Page(s) 106646, ISSN 0892-6875
Publisher: Elsevier BV
DOI: 10.1016/j.mineng.2020.106646