Advances in mathematics and physics: From complexity to machine learning—A review

Orazio Descalzi, Jaime Cisternas, Sergio Curilef, Luisberis Velázquez, Miguel Fuentes

Open source

DOI: 10.1063/5.0345003
Published: 2026-07-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0345003,
  title = {Advances in mathematics and physics: From complexity to machine learning—A review},
  author = {Orazio Descalzi and Jaime Cisternas and Sergio Curilef and Luisberis Velázquez and Miguel Fuentes},
  year = {2026},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0345003},
  url = {https://doi.org/10.1063/5.0345003}
}

RIS

TY  - JOUR
TI  - Advances in mathematics and physics: From complexity to machine learning—A review
AU  - Orazio Descalzi
AU  - Jaime Cisternas
AU  - Sergio Curilef
AU  - Luisberis Velázquez
AU  - Miguel Fuentes
PY  - 2026
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0345003
UR  - https://doi.org/10.1063/5.0345003
ER  -

APA

Descalzi, O., Cisternas, J., Curilef, S., Velázquez, L., & Fuentes, M. (2026). Advances in mathematics and physics: From complexity to machine learning—A review. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0345003

Source records

crossref · retrieved 2026-09-25T09:16:46.927Z