The futuristic view of smart mines is the attainment of automated self-governed mines
without human intervention throughout the value chain. However, reality entails a hybrid …

This paper employs insights from earth science on the financial risk of project developments
to present an economic theory of critical minerals. Our theory posits that back-ended critical …

Geo-engineering problems are known for their complexity and high uncertainty levels,
requiring precise definitions, past experiences, logical reasoning, mathematical analysis …

The Mine-to-Mill (M2M) approach aims to enhance efficiency and reduce costs in the
mineral processing industry by optimizing the mining and processing stages. M2M …

Froth flotation, a widely used mineral beneficiation technique, generates substantial
volumes of data, offering the opportunity to extract valuable insights from these data for …

In this study, we propose a novel methodology for the automatic control of heap leaching by
means of policies obtained using Reinforcement Learning (RL). This methodology models …

To address the limitations of static models and gain insight into the processes of extractive
leaching and chemical precipitation, a data-driven dynamic modeling strategy is proposed …

Mineral processing is a crucial stage in the mining process, involving comminution and
concentration stages. Comminution is modeled using various ore variables and operational …

In the wake of the increasing environmental challenges and the urgent need for sustainable
development, this study focuses on the complex issue of mineral resource management …

This paper employs insights from earth science on the financial risk of project developments
to present an economic theory of critical minerals. Our theory posits that back-ended critical …