Abstract
Numerical modeling of random magnetization switching in uniaxial particles is studied by using Monte Carlo simulations of magnetization dynamics driven by a jump-noise process. Numerical results on cumulative distribution functions for random switching (exit) times are reported along with the numerical testing of the Kramers–Brown approximation.
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