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Magnetic gels are soft elastic materials consisting of magnetic particlesembedded in a polymer network. Their shape and elasticity can be controlled byan external magnetic field, which gives rise to both, engineering andbiomedical applications. Computer simulations are a commonly used tool to studythese materials. A well-known bottleneck of these simulations is the demandingcalculation of dipolar interactions. Under periodic boundary conditionsestablished algorithms are available for doing this, however, at the expense ofrestricting the way in which the gels can deform in an external magnetic field.Moreover, the magnetic properties depend on the sample shape, ruling outperiodic boundary conditions entirely for some research questions. In thisarticle we will employ the recently developed dipolar variant of the P$^2$NFFTmethod that is able to calculate dipolar interactions under open boundaryconditions with an $N \log N$ scaling in the number of particles, rather thanthe expensive $N^2$ scaling of a direct summation of pair forces. The dipolarP$^2$NFFT method has been implemented within the ScaFaCoS library. Themolecular dynamics software ESPResSo has been extended to make use of thelibrary.  After a short summary of the method, we will discuss its value for studyingmagnetic soft matter systems. A particular focus is put on developing a tuningstrategy to reach the best performance of the method at a predefined accuracy,and lastly applying the method to a magnetic gel model. Here, adapting to thegel's change in shape during the course of a simulation is of particularinterest.

Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method