Kinetic Monte Carlo (KMC) simulation of sintering of nickel oxide-yttria stabilized zirconia composites: Model, parameter calibration and validation.

[Display omitted] • The mesoscale kinetic Monte Carlo method is developed to simulate the sintering of NiO-YSZ composite anodes. • An artificial neural network accelerated method is developed to calibrate the Kinetic Monte Carlo model parameters. • Microstructure is resolved with high-accuracy using spherical particles to correct distortion in FIB-SEM 3D reconstruction. • The proposed framework is fully adaptable for sintering simulations of any other composite materials. This study proposes a kinetic Monte Carlo (KMC) model for the sintering of two-phase composites using nickel oxide-yttria stabilized zirconia (NiO-YSZ) as a case study. An artificial neural network (ANN) assisted method is used to calibrate the KMC model parameters by comparing the simulated microstructures and the real microstructure reconstructed by focused ion beam scanning electron microscopy (FIB-SEM). It is demonstrated that the ANN calibrated KMC model can predict quantitatively the microstructure evolution of NiO-YSZ composite. The microstructural parameters such as volume fraction, specific surface area, and triple-phase boundary length density of sintered NiO-YSZ are well predicted within acceptable errors. The proposed framework can be adapted for the simulation of the microstructure evolution of any other composite electrodes for solid oxide fuel cells and other composites fabricated by sintering. [ABSTRACT FROM AUTHOR]