Magnetic State Estimator to Characterize the Magnetic States of Nano-Magnetic Disks

We present an image processing system-magnetic state estimator (MSE) to estimate the magnetization states of lithographically patterned single domain nano-magnets. The tool requires digital images of a magnetic force micrograph, an atomic force micrograph and a computer-aided design layout of the magnetic nanostructures to estimate their magnetization states. The tool also yields a confidence value of the estimated magnetization state. We have tested the MSE on randomly patterned Permalloy nano-magnetic disks on a Silicon wafer. The tool was able to correctly identify 403 single domain states out of 499 and 256 vortex states out of 297, producing an accuracy rate of 83%.

[1]  Johan Åkerman,et al.  Toward a Universal Memory , 2005, Science.

[2]  Mubarak Shah,et al.  Computer Vision for Nanoscale Imaging , 2006, Machine Vision and Applications.

[3]  R. Cowburn,et al.  Single-Domain Circular Nanomagnets , 1999 .

[4]  R. Cowburn,et al.  Room temperature magnetic quantum cellular automata , 2000, Science.

[5]  R. Allenspach,et al.  Analytical approach to the single-domain-to-vortex transition in small magnetic disks , 2004 .

[6]  H. Hoffmann,et al.  Single domain and vortex state in ferromagnetic circular nanodots , 2002 .

[7]  B. Terris,et al.  Nanofabricated and self-assembled magnetic structures as data storage media , 2005 .

[8]  S. Bhanja,et al.  Study of magnetization state transition in closely spaced nanomagnet two-dimensional array for computation , 2011 .

[9]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[10]  I. Schuller,et al.  Ordered magnetic nanostructures: fabrication and properties , 2003 .

[11]  J. E. Stern,et al.  Magnetic force microscopy: General principles and application to longitudinal recording media , 1990 .

[12]  Stuart A. Wolf,et al.  Spintronics : A Spin-Based Electronics Vision for the Future , 2009 .

[13]  A Imre,et al.  Majority Logic Gate for Magnetic Quantum-Dot Cellular Automata , 2006, Science.

[14]  Michael T. Niemier,et al.  Performance and Energy Impact of Locally Controlled NML Circuits , 2011, JETC.

[15]  U. Hartmann.  Magnetic force microscopy , 1990 .

[16]  P. Tartaj.  Nanomagnets-From Fundamental Physics to Biomedicine , 2006 .

[17]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Laurent Itti,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Rapid Biologically-inspired Scene Classification Using Features Shared with Visual Attention , 2022 .