Catalysis-Mediated, Ion-Size Modulation-Driven Separation of Transition Metal Complexes

Area of Science:

• Materials Science
• Computational Chemistry
• Chemical Engineering

Background:

• Critical minerals like tantalum and niobium are vital for modern technologies but face supply chain vulnerabilities.
• Their similar chemical and physical properties make separation from co-occurring ores challenging and costly.
• Existing separation methods are often resource-intensive and inefficient.

Purpose of the Study:

• To explore MXenes as catalytically active 2D membranes for separating tantalum and niobium.
• To investigate a novel catalysis-driven approach for separating mineral complexes with nearly identical properties.
• To leverage computational methods to understand the separation mechanism at the molecular level.

Main Methods:

• Density functional theory (DFT) simulations.
• Ab initio molecular dynamics (AIMD) simulations.
• Machine learning (ML) simulation methods.
• Investigated catalytic reactions of tantalum and niobium fluoro-complexes within MXene nanopores.

Main Results:

• Catalytic dissociation of tantalum and niobium fluoro-complexes yielded species with distinct physical properties.
• Observed significantly faster translocation rates for tantalum complexes through MXene nanopores.
• Identified varying interactions between dissociated complexes and nanopore walls, leading to different translocation barriers and flux rates.

Conclusions:

• Established a fundamentally new, catalysis-driven route for separating critical minerals with similar properties.
• Demonstrated the potential of MXenes as selective membranes for critical mineral separation.
• Computational simulations provided molecular-level insights into the separation mechanism, paving the way for optimized processes.