GraPhAI: Neural Networks for Solving Centrosymmetric Crystal Structures

Džonatans Miks Melgalvis, Toms Rekis

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DOI: 10.1021/jacs.6c05607
Published: 2026-06-30
Container: Journal of the American Chemical Society
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/jacs.6c05607,
  title = {GraPhAI: Neural Networks for Solving Centrosymmetric Crystal Structures},
  author = {Džonatans Miks Melgalvis and Toms Rekis},
  year = {2026},
  journal = {Journal of the American Chemical Society},
  doi = {10.1021/jacs.6c05607},
  url = {https://doi.org/10.1021/jacs.6c05607}
}

RIS

TY  - JOUR
TI  - GraPhAI: Neural Networks for Solving Centrosymmetric Crystal Structures
AU  - Džonatans Miks Melgalvis
AU  - Toms Rekis
PY  - 2026
JO  - Journal of the American Chemical Society
DO  - 10.1021/jacs.6c05607
UR  - https://doi.org/10.1021/jacs.6c05607
ER  -

APA

Melgalvis, D. M., & Rekis, T. (2026). GraPhAI: Neural Networks for Solving Centrosymmetric Crystal Structures. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.6c05607

Source records

crossref · retrieved 2026-11-10T10:33:52.292Z