Fitting magnetization data using continued fraction of straight lines
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arXiv
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915668511686656 |
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| author | S, Vijay Prakash |
| author_facet | S, Vijay Prakash |
| contents | Magnetization of a ferromagnetic substance in response to an externally applied magnetic field increases with the strength of the field. This is because at the microscopic level, magnetic moments in certain regions or domains of the substance increasingly align with the applied field, while the amount of misaligned domains decreases. The alignment of such magnetic domains with an applied magnetic field forms the physical basis for the nonlinearity of magnetization. In this paper, the nonlinear function is approximated as a combination of continued fraction of straight lines. The resulting fit is used to interpret the nonlinear behavior in both growing and shrinking magnetic domains. The continued fraction of straight lines used here is an algebraic expression which can be used to estimate parameters using nonlinear regression. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_10390 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fitting magnetization data using continued fraction of straight lines S, Vijay Prakash Machine Learning Materials Science Classical Physics Magnetization of a ferromagnetic substance in response to an externally applied magnetic field increases with the strength of the field. This is because at the microscopic level, magnetic moments in certain regions or domains of the substance increasingly align with the applied field, while the amount of misaligned domains decreases. The alignment of such magnetic domains with an applied magnetic field forms the physical basis for the nonlinearity of magnetization. In this paper, the nonlinear function is approximated as a combination of continued fraction of straight lines. The resulting fit is used to interpret the nonlinear behavior in both growing and shrinking magnetic domains. The continued fraction of straight lines used here is an algebraic expression which can be used to estimate parameters using nonlinear regression. |
| title | Fitting magnetization data using continued fraction of straight lines |
| topic | Machine Learning Materials Science Classical Physics |
| url | https://arxiv.org/abs/2512.10390 |