From the 1 of 4 linked papers with an AI index.
4 papers
Inferring Magnetic Material Parameters from Statistical Measures in Strongly Fluctuating Magnetization Dynamics
Kübra Kalkan, Atreya Majumdar, Ross Knapman +5
The paper presents a method that uses statistical descriptors of thermally driven magnetization dynamics, especially latent entropy, to infer local magnetic material parameters suc…
Defect Detection in Magnetic Systems Using U-Net and Statistical Measures
Ross Knapman, Atreya Majumdar, Nasim Bazazzadeh +5
Local material inhomogeneities can strongly influence magnetization dynamics and macroscopic magnetic properties, yet detecting such defects from magnetic imaging data remains chal…
3D Magnetic Textures with Mixed Topology: Unlocking the Tunable Hopf Index
Maria Azhar, Sandra C. Shaju, Ross Knapman +2
Knots and links play a crucial role in understanding topology and discreteness in nature. In magnetic systems, twisted, knotted and braided vortex tubes manifest as Skyrmions, Hopf…
Numerical Calculation of the Hopf Index for 3D Magnetic Textures
Ross Knapman, Maria Azhar, Alessandro Pignedoli +4
To gain deeper insight into the complex, stable, and robust configurations of magnetic textures, topological characterisation has proven essential. In particular, while the skyrmio…