Interatomic potentials for platinum
R. K. Koju, Y. Li, Y. Mishin
TL;DR
This work develops two first-principles-trained Pt interatomic potentials, ADP and MT, and demonstrates their superior accuracy over existing EAMs across lattice, defect, surface, and vibrational properties relative to DFT and experiment. By using a comprehensive DFT database and consistent benchmarking, the authors show that both potentials substantially improve predictive capability, with MT offering a valuable avenue for modeling mixed bonding systems despite higher computational cost. The results highlight MT's potential to fill gaps between metallic and covalent descriptions, enabling large-scale simulations of Pt and Pt-based interfaces and compounds. Overall, the work provides robust, transferable tools for Pt that enhance predictive simulations in catalysis, materials science, and device applications.
Abstract
We present two new interatomic potentials for platinum (Pt) in angular-dependent potential (ADP) and modified Tersoff (MT) formats. Both potentials have been trained on a reference database of first-principles calculations without using experimental data. The properties of Pt predicted by the ADP and MT potentials agree better with DFT calculations and experimental data than the potentials available in the literature. Future applications of the MT model to mixed-bonding metal-covalent systems are discussed.
