Mineral Processing and Extractive Vol. 134, No. 1, available now

This issue explores topics such as leveraging AI for metallurgical performance predictions and advancing the circular economy.

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Hydrometallurgical, pyrometallurgical and electrometallurgical extraction of niobium and tantalum: an overview
Michael Girma Haile, Alabi Oladunni Oyelola, Fatai Olufemi Aramide, Saliu Ojo Seidu, Oyetunji Akinlabi   
pp. 3–12
DOI: 10.1177/25726641241301982

Artificial intelligence and machine learning models for predicting the metallurgical performance of complex sulfide ore flotation process
Danish Ali, Muhammad Badar Hayat, Lana Alagha, Keitumetse Catherine Monyake, Hammas Khalid
pp. 13–32
DOI: 10.1177/25726641241311475

The use of Al2O3 as heat-sink during vanadium extraction by thermite process
Uttam Jain, Alok Awasthi
pp. 33–42
DOI: 10.1177/25726641241312789

Two-stage kinetics study of cadmium dissolution from Cd–Ni filter cake with sulfuric acid
Yasaman Kaffash, Shahram Raygan, Mehdi Pourabdoli, Vahid Aghaei Lashgari
pp. 43–51
DOI: 10.1177/25726641251315711

Advancing the circular economy: green recovery of rare earth elements (REEs) from coal combustion fly ash using biohydrometallurgical techniques with mixotrophic bacteria
Siti Khodijah Chaerun, Ronny Winarko, Raudhatul Islam Chaerun, Fika Rofiek Mufakhir, Sarinah Tiodora Lumbantobing, Aisyah Minzikrina Masbar Rus, Zela Tanlega Ichlas, Wahyudin Prawira Minwal, Muhammad Hafid Masruri, Imam Santoso, Widi Astuti
pp. 52–66
DOI: 10.1177/25726641251316396