Machine-learning-assisted inverse design of grain-boundary diffusion profiles for high-coercivity Nd–Fe–B sintered magnets: a micromagnetic study

Research compendium for a micromagnetic study of grain-boundary diffusion in Nd–Fe–B sintered magnets. It contains the 60-run micromagnetic dataset (two independent 30-point Latin hypercube batches), the Gaussian-process surrogate, the coercivity–Dy Pareto front, the six manuscript figures, the manuscript (PDF/DOCX/LaTeX), and the scripts needed to reproduce the results. Code is released under the MIT License; data and figures are released under CC BY 4.0.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23666362
Primary Topic
Magnetic Properties of Alloys
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine-learning-assisted inverse design of grain-boundary diffusion profiles for high-coercivity Nd–Fe–B sintered magnets: a micromagnetic study

Chengxuan Wang
Zenodo (CERN European Organization for Nuclear Research)
Magnetic Properties of Alloys
article

Machine-learning-assisted inverse design of grain-boundary diffusion profiles for high-coercivity Nd–Fe–B sintered magnets: a micromagnetic study

Chengxuan Wang
article en

Abstract

Research compendium for a micromagnetic study of grain-boundary diffusion in Nd–Fe–B sintered magnets. It contains the 60-run micromagnetic dataset (two independent 30-point Latin hypercube batches), the Gaussian-process surrogate, the coercivity–Dy Pareto front, the six manuscript figures, the manuscript (PDF/DOCX/LaTeX), and the scripts needed to reproduce the results. Code is released under the MIT License; data and figures are released under CC BY 4.0.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Magnetic Properties of Alloys
DOIOpen Access PDFOpenAlex
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Machine-learning-assisted inverse design of grain-boundary diffusion profiles for high-coercivity Nd–Fe–B sintered magnets: a micromagnetic study — Chengxuan Wang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS