Mn oxides are a major player in controlling the geochemical cycling of many metals. In general, layer-type phyllomanganates and tunnel-type tectomanganates are dominant Mn oxides found in nature and easy to synthesize in experiment. However, these minerals are difficult to fully characterize due to the nanoparticle size, low crystallinity, mixed oxidation states of Mn (II, III, IV), and high defect content. Computational mineralogy becomes critical to resolving the complexity of Mn oxide structures and their reactivity to metal cations.
Free energy perturbation (FEP) calcualtions
Todorokite is a tectomanganate with a 3×3 tunnel structure and contains various metal cations inside the nanopores. We performed free energy perturbation (FEP) MD simulation using the MnFn force field to reveal the disordered tunnel structure in terms of the hydration state, cation species, and average oxidation state (AOS) of Mn. We estiamted the optimum water content in the tunnel as a function of humidity and found that Ni2+, Zn2+, Mg2+, Ca2+ or Na+ prefer inner-sphere (IS) complexes in a low hydration state, but outer-sphere (OS) complexes in a high hydration state, whereas K+ or Cs+ always form IS complexes regardless of tunnel hydration state. Tunnel cation positions can be also dependent on the AOS of Mn, indicating various metal speciation in seafloor Mn oxides.