Guiding blind signal separation in X-ray absorption spectroscopy using supervised machine learning.

Timoshenko J, Martini A, Rüscher M, Bai L, De Angelis LD, de Oliveira Monteiro MC, Roldan Cuenya B

DOI: 10.1039/d6sc03428d
Published: 2026 Jul 23
Container: Chemical science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1039/d6sc03428d,
  title = {Guiding blind signal separation in X-ray absorption spectroscopy using supervised machine learning.},
  author = {Timoshenko J and Martini A and Rüscher M and Bai L and De Angelis LD and de Oliveira Monteiro MC and Roldan Cuenya B},
  year = {2026},
  journal = {Chemical science},
  doi = {10.1039/d6sc03428d},
  url = {https://doi.org/10.1039/d6sc03428d}
}

RIS

TY  - JOUR
TI  - Guiding blind signal separation in X-ray absorption spectroscopy using supervised machine learning.
AU  - Timoshenko J
AU  - Martini A
AU  - Rüscher M
AU  - Bai L
AU  - De Angelis LD
AU  - de Oliveira Monteiro MC
AU  - Roldan Cuenya B
PY  - 2026
JO  - Chemical science
DO  - 10.1039/d6sc03428d
UR  - https://doi.org/10.1039/d6sc03428d
ER  -

APA

J, T., A, M., M, R., L, B., LD, D. A., MC, D. O. M., & B, R. C. (2026). Guiding blind signal separation in X-ray absorption spectroscopy using supervised machine learning.. Chemical science. https://doi.org/10.1039/d6sc03428d

Source records

pubmed · retrieved 2026-09-26T17:28:08.353Z