Artificial intelligence (AI) is being employed in brine mining to enhance the extraction of
lithium, vital for the manufacturing of lithium-ion batteries, through improved recovery …

The rising global demand for brine resources necessitates the exploration of alternative
sources to complement existing natural sources. It is imperative to explore innovative …

Precisely measuring the adsorption capability of materials towards toxic heavy metal ions in
aqueous solution is essential for the synthesis of effective novel adsorbents. Nonetheless …

Predicting the heavy metals adsorption performance from contaminated water is a major
environment-associated topic, demanding information on different machine learning and …

Accurately evaluating the adsorption ability of adsorbents for heavy metal ions (HMIs) and
organic pollutants in water is critical for the design and preparation of emerging highly …

The aim of this study is to explore a three-dimensional (3D) quantitative mineral prediction
method to address the issues of low accuracy and efficiency in mineral resource exploration …

The recovery of lithium ion from spent lithium sources and from seawater is a strategic way
of complementing the existing natural sources to meet the rapid growth in demand. Crown …

Graphene oxide (GO), as an emerging material, exhibits extraordinary performance in terms
of water treatment. Adsorption is a process that is influenced by multiple factors and is …

Understanding and broad screening Li interaction energetics with surfaces are key to the
development of materials for a wide range of applications including Li-based …

Mineral extraction and use are vital to the world economy and industrial and energy
industries. Environmental implications and the limited nature of many mineral resources …