Equilibrium Thermochemistry and Crystallographic Morphology of Manganese Sulfide Nanocrystals
Junchi Chen, Tamilarasan Subramani, Deep Mekan, Danielle Gendler, Ray Yang, Manish Kumar, Megan Householder, Alexis Rosado Ortiz, Emil A. Hernandez-Pagan, Kristina Lilova, Robert B. Wexler

TL;DR
This study uses advanced DFT calculations to predict the equilibrium shapes of MnS nanocrystals across different polymorphs, linking thermodynamic stability to morphology and validating predictions with experiments.
Contribution
It introduces a validated computational framework combining r2SCAN+U and Gibbs–Wulff theorem to accurately predict MnS nanocrystal morphologies based on thermodynamic considerations.
Findings
RS-MnS favor nanocubes across stability window
ZB-MnS morphs from rhombic dodecahedra to polyhedra with 16 faces
WZ-MnS adopts rod-like shapes sensitive to sulfur chemical potential
Abstract
Manganese sulfide (MnS) is a p-type magnetic semiconductor whose physicochemical properties are sensitive to nanocrystal (NC) morphology, yet the thermodynamic driving forces governing morphology across MnS polymorphs remain poorly understood. Here, we use density functional theory (DFT) to predict the equilibrium morphologies of rock salt (RS), zinc blende (ZB), and wurtzite (WZ) MnS NCs as a function of the relative chemical potential of sulfur, . Benchmarking against HeydScuseriaErnzerhof (HSE06) hybrid functional calculations reveals that the rSCAN meta-generalized gradient approximation reproduces experimental lattice constants and thermochemical reaction energies but underestimates S-terminated polar surface energies by up to a factor of five; applying a Hubbard correction (rSCAN+, eV) to the Mn 3d states…
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Taxonomy
TopicsQuantum Dots Synthesis And Properties · nanoparticles nucleation surface interactions · Laser-Ablation Synthesis of Nanoparticles
