Data-driven theoretical characterization of β-decay spectra in radioisotope energy materials via artificial fish swarm optimized adaptive kernel density estimation.

Ma Y, Cai C, Liu H, Zong H, Wang X, Wu C

DOI: 10.3389/fchem.2026.1834067
Published: 2026
Container: Frontiers in chemistry
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fchem.2026.1834067,
  title = {Data-driven theoretical characterization of β-decay spectra in radioisotope energy materials via artificial fish swarm optimized adaptive kernel density estimation.},
  author = {Ma Y and Cai C and Liu H and Zong H and Wang X and Wu C},
  year = {2026},
  journal = {Frontiers in chemistry},
  doi = {10.3389/fchem.2026.1834067},
  url = {https://doi.org/10.3389/fchem.2026.1834067}
}

RIS

TY  - JOUR
TI  - Data-driven theoretical characterization of β-decay spectra in radioisotope energy materials via artificial fish swarm optimized adaptive kernel density estimation.
AU  - Ma Y
AU  - Cai C
AU  - Liu H
AU  - Zong H
AU  - Wang X
AU  - Wu C
PY  - 2026
JO  - Frontiers in chemistry
DO  - 10.3389/fchem.2026.1834067
UR  - https://doi.org/10.3389/fchem.2026.1834067
ER  -

APA

Y, M., C, C., H, L., H, Z., X, W., & C, W. (2026). Data-driven theoretical characterization of β-decay spectra in radioisotope energy materials via artificial fish swarm optimized adaptive kernel density estimation.. Frontiers in chemistry. https://doi.org/10.3389/fchem.2026.1834067

Source records

pubmed · retrieved 2026-09-25T21:56:05.419Z