Data-driven and physics-informed estimation of magnetic nanoparticle properties via stochastic Langevin model.

Azizi E, Wang H, Zuo H, Chugh V, He R, Wu K

DOI: 10.1088/1361-6528/ae4e32
Published: 2026 Mar 16
Container: Nanotechnology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1088/1361-6528/ae4e32,
  title = {Data-driven and physics-informed estimation of magnetic nanoparticle properties via stochastic Langevin model.},
  author = {Azizi E and Wang H and Zuo H and Chugh V and He R and Wu K},
  year = {2026},
  journal = {Nanotechnology},
  doi = {10.1088/1361-6528/ae4e32},
  url = {https://doi.org/10.1088/1361-6528/ae4e32}
}

RIS

TY  - JOUR
TI  - Data-driven and physics-informed estimation of magnetic nanoparticle properties via stochastic Langevin model.
AU  - Azizi E
AU  - Wang H
AU  - Zuo H
AU  - Chugh V
AU  - He R
AU  - Wu K
PY  - 2026
JO  - Nanotechnology
DO  - 10.1088/1361-6528/ae4e32
UR  - https://doi.org/10.1088/1361-6528/ae4e32
ER  -

APA

E, A., H, W., H, Z., V, C., R, H., & K, W. (2026). Data-driven and physics-informed estimation of magnetic nanoparticle properties via stochastic Langevin model.. Nanotechnology. https://doi.org/10.1088/1361-6528/ae4e32

Source records

pubmed · retrieved 2026-09-26T18:41:16.795Z
europe-pmc · retrieved 2026-09-26T18:41:16.808Z