%0 journal article
%@ 1742-7061
%A Willumeit, R., Feyerabend, F., Huber, N.

%D 2013
%J Acta Biomaterialia
%N 10
%P 8722-8729 
%R doi:10.1016/j.actbio.2013.02.042
%T Magnesium degradation as determined by artificial neural networks
%U https://doi.org/10.1016/j.actbio.2013.02.042
10 
%X Artificial Neural Networks are a mathematical tool that can be used to approximate and analyse non-linear problems with multiple inputs. In this work, we present the first analysis of corrosion data obtained using this method, which reveals that CO2 and the composition of the buffer system play a crucial role in the corrosion of magnesium, whereas O2, proteins and temperature play a less prominent role.