Integration of machine learning with phase field method to model the electromigration induced Cu6Sn5 IMC growth at anode side Cu/Sn interface
Anil Kunwara,*(
), Yuri Amorim Coutinhoa, Johan Hektorb,c, Haitao Mad, Nele Moelansa
), Yuri Amorim Coutinhoa, Johan Hektorb,c, Haitao Mad, Nele Moelansa
.
Fig. 11.. Evolution of IMC grains at two different magnitudes of current densities as obtained from 2D phase field simulations using the effective charge numbers derived with the neural network analysis. The structure was initialized (t = 0) by placing the brown colored Cu6Sn5 IMC grains (smaller grain denoted as Gr 1 and larger grain denoted as Gr 2) at the interface between the LIQUID (red color) and FCC phase (blue color).
