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Maria Sinche-Gonzalez

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Adj. Prof. Senior University Lecturer, Researcher in Mineral Processing, Consortium coordinator EMJM-PROMISE

University of Oulu

Finland

Research Interests

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Professors in Finland Professors in Mining Engineering Mining Engineering professors in Finland

Recent Grants

Grant: Open

Circularity-integrated mining (CINTEM)

Open Date: 2025-03-01

Close Date: 2026-12-01

Grant: Open

Recovery of Mining District Network- REMIDNET

Open Date: 2024-01-01

Close Date: 2028-12-01

Grant: Open

Erasmus Mundus Joint Master in Sustainable Mineral and Metal Processing Engineering-PROMISE

Open Date: 2022-02-01

Close Date: 2027-01-01

Grant: Close

Recovery of copper by flotation from old tailing dam Viscaria case study

Open Date: 2022-01-01

Close Date: 2023-01-01

Grant: Close

Testing the dynamics and extraction kinetic of a single coated bubble for solvent extraction of copper for model design and validation

Open Date: 2022-01-01

Close Date: 2023-01-01

Articles (10)

Year:

2026

Year:

2025

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2025

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2025

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2025

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2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (1)

Ahmad Hassanzadeh

Norwegian University of Science and Technology

NORWAY

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Maria Sinche-Gonzalez

Research Interests

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Recent Grants

Articles (10)

Mineral processing techniques to enhance gold-telluride flotation: development from laboratory to industrial scale for Åkulla Kankberg Ore, Sweden

Investigating hydrodynamics of a laboratory-scale ImhoflotTM V-cell in recovering ultrafine magnesite from a dolomite-rich tailing

Dissolution kinetics of low-grade zinc silicate ore in hydroxide solution

Education in mineral processing and filling the gap of talented mineral processing engineers

Grade improvement of iron ore concentrate by applying plant audits, standardization and process optimization

Hollow drop bubbles a proposed new technology for optimized metal extraction validated in the laboratory

Predictive Insight into Tailings Flowability at Their Disposal Using Operating Data-Driven Artificial Neural Network (ANN) Technique

Hollow drop bubbles: A preliminary study of simplified prototype for improving copper(II) extraction with ACORGA® M5640 using coated bubble swarm

Predicting Flowability at Disposal of Spent Heap Leach by Applying Artificial Neural Networks Based on Operational Variables

Soft Computing Application in Mining, Mineral Processing and Metallurgy with an Approach to Using It in Mineral Waste Disposal

Collaborators (1)

Ahmad Hassanzadeh

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