76 citations · 1.5k across the 82 of their papers we have counts for
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Magnetostatics and micromagnetics with physics informed neural networks
Alexander Kovacs, Lukas Exl, Alexander Kornell +8
Partial differential equations and variational problems can be solved with physics informed neural networks (PINNs). The unknown field is approximated with neural networks. Minimiz…
Influence of grain size and exchange interaction on the LLB modeling procedure
Christoph Vogler, Claas Abert, Florian Bruckner +2
Reliably predicting bit-error rates in realistic heat-assisted magnetic recording simulations is a challenging task. Integrating the Landau-Lifshitz-Bloch (LLB) equation can reduce…
Basic noise mechanisms of heat-assisted-magnetic recording
Christoph Vogler, Claas Abert, Florian Bruckner +2
Heat-assisted magnetic recording (HAMR) is expected to be a key technology to significantly increase the areal storage density of magnetic recording devices. At high temperatures t…
Areal density optimizations for heat-assisted-magnetic recording of high density bit-patterned media
Christoph Vogler, Claas Abert, Florian Bruckner +2
Heat-assisted-magnetic recording (HAMR) is hoped to be the future recording technique for high density storage devices. Nevertheless, there exist several realizations strategies. W…
Heat assisted magnetic recording of bit patterned media beyond 10 Tb/in
Christoph Vogler, Claas Abert, Florian Bruckner +2
The limits of the areal storage density as can be achieved with heat assisted magnetic recording (HAMR) are still an open issue. We want to address this central question and presen…