From the 1 of 2 linked papers with an AI index.
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Decoding the Micromagnetic Hamiltonian from Magnetic Fingerprints
Bradley J. Fugetta, Anqi Liu, Kai Liu +2
The paper presents deep convolutional neural networks that infer the full micromagnetic Hamiltonian of a material directly from magnetic fingerprint data obtained via First‑Order R…
Curvature induced modifications of chirality and magnetic configuration in perpendicular magnetized films
David Raftrey, Dhritiman Bhattacharya, Colin Langton +8
Designing curvature in three-dimensional (3D) magnetic nanostructures enables controlled manipulation of local energy landscapes, allowing for the modification of noncollinear spin…
Single-Phase L1-Ordered High Entropy Thin Films with High Magnetic Anisotropy
Willie B. Beeson, Dinesh Bista, Huairuo Zhang +4
The vast high entropy alloy (HEA) composition space is promising for discovery of new material phases with unique properties. We explore the potential to achieve rare-earth-free hi…
Fast \textit{ab initio} design of high-entropy magnetic thin films
Dinesh Bista, Willie B. Beeson, Turbasu Sengupta +4
We show that the magnetic properties of high-entropy alloys (HEAs) can be captured by \textit{ab initio} calculations within the coherent potential approximation, where the atomic…