Froth flotation is the most versatile process in mineral
beneficiation,
extensively used to concentrate a wide range of minerals. This process
comprises mixtures of more or less liberated minerals, water, air,
and various chemical reagents, involving a series of intermingled
multiphase physical and chemical phenomena in the aqueous environment.
Today’s main challenge facing the froth flotation process is
to gain atomic-level insights into the properties of its inherent
phenomena governing the process performance. While it is often challenging
to determine these phenomena via trial-and-error experimentations,
molecular modeling approaches not only elicit a deeper understanding
of froth flotation but can also assist experimental studies in saving
time and budget. Thanks to the rapid development of computer science
and advances in high-performance computing (HPC) infrastructures,
theoretical/computational chemistry has now matured enough to successfully
and gainfully apply to tackle the challenges of complex systems. In
mineral processing, however, advanced applications of computational
chemistry are increasingly gaining ground and demonstrating merit
in addressing these challenges. Accordingly, this contribution aims
to encourage mineral scientists, especially those interested in rational
reagent design, to become familiarized with the necessary concepts
of molecular modeling and to apply similar strategies when studying
and tailoring properties at the molecular level. This review also
strives to deliver the state-of-the-art integration and application
of molecular modeling in froth flotation studies to assist either
active researchers in this field to disclose new directions for future
research or newcomers to the field to initiate innovative works.