Machine Learning Accelerated Design and Discovery of Rare-earth Phosphates as Next Generation Environmental Barrier Coatings
Algorithms are being developed to generate synthetic microstructures based on experimentally-obtained microstructures and simulation of generated microstructure for materials properties simulations.
Jie Lian, Rensselaer Polytechnic Institute
Algorithms are being developed to generate synthetic microstructures based on experimentally-obtained microstructures and simulation of generated microstructure for materials properties simulations.
Experimental EBSD data is processed and fed into DREAM 3D software to generate 3D synthetic statically equivalent microstructure of the single component and multicomponent rare-earth phosphates.
Abaqus files based on model output from DREAM 3D are generated to calculate the macroscopic properties of various statistically representative synthetic microstructures.
Effect of CMAS penetration on the effective material properties are studied and the extent of property degradation is being determined.