Unravelling lone pair induced bonding effects on thermal conductivity in metal chalcogenides using machine learning potentials

We present a fine-tuned MatterSim framework for efficient κ L prediction in pnictogen chalcogenides, capturing bonding effects beyond SCALP via Wigner heat transport formulation, enabling scalable screening beyond conventional κ L descriptors.