The sputteringSputtering of a beryllium targetBeryllium target under 5 keV krypton ionKrypton ions bombardment is a key phenomenon in several technological fields, particularly for materials exposed to plasma environmentsEnvironment in nuclear fusion reactors. Accurately modeling the angular distributionAngular distribution of ejected species remains a major challenge due to the complex atomic-scale interactions and the specific properties of the material. This study proposes an optimization approach based on a genetic algorithmGenetic algorithm to calibrate the parameters of a mathematical model, with the aim of improving the prediction of sputteringSputtering yield. The results contribute to a better understanding of plasma–material interaction mechanisms and pave the way for more reliable simulations in the context of controlled nuclear fusion.