Applied Statistical Model of Surface Morphology for Plasma-Material Interactions

Multi-scale simulations of fusion devices must include detailed models of plasma-material interactions including surface morphology and composition to successfully capture the complete physics of machine operation. Binary Collision Approximation (BCA) codes succeed at modeling atomic scale ion-matter interactions, including reflection, sputtering, and implantation. F-TRIDYN is a BCA code designed as an interface between plasma and material codes for the PSI2-SciDAC collaboration. In this collaboration, F-TRIDYN is coupled to hPIC to provide ion energy-angle distributions and to Xolotl and GITR for subsurface dynamics and impurity transport respectively. F-TRIDYN includes an explicit model of surface morphology. However, explicit surface morphology is computationally expensive. For this reason, a fast, statistical model of surface morphology has been developed. This talk will cover the implementation, computational performance, and applications of the statistical surface model in F-TRIDYN.