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magnum.np is a micromagnetic finite-difference library completely based onthe tensor library PyTorch. The use of such a high level library leads to ahighly maintainable and extensible code base which is the ideal candidate forthe investigation of novel algorithms and modeling approaches. On the otherhand magnum.np benefits from the devices abstraction and optimizations ofPyTorch enabling the efficient execution of micromagnetic simulations on anumber of computational platforms including GPU and potentially TPU systems. Wedemonstrate a competitive performance to state-of-the art micromagnetic codessuch a mumax3 and show how our code enables the rapid implementation of newfunctionality. Furthermore, handling inverse problems becomes possible by usingPyTorch's autograd feature.

magnum.np -- A PyTorch based GPU enhanced Finite Difference Micromagnetic Simulation Framework for High Level Development and Inverse Design