From Small Data to High Capacity: Symbolic Learning of Sodium-Ion Cathode Materials

Kong Meng, Andrey S. Vasenko, Evgueni V. Chulkov, Run Long

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DOI: 10.1021/acs.jpclett.6c02595
Published: 2026-08-28
Container: The Journal of Physical Chemistry Letters
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpclett.6c02595,
  title = {From Small Data
to High Capacity: Symbolic Learning
of Sodium-Ion Cathode Materials},
  author = {Kong Meng and Andrey S. Vasenko and Evgueni V. Chulkov and Run Long},
  year = {2026},
  journal = {The Journal of Physical
Chemistry Letters},
  doi = {10.1021/acs.jpclett.6c02595},
  url = {https://doi.org/10.1021/acs.jpclett.6c02595}
}

RIS

TY  - JOUR
TI  - From Small Data
to High Capacity: Symbolic Learning
of Sodium-Ion Cathode Materials
AU  - Kong Meng
AU  - Andrey S. Vasenko
AU  - Evgueni V. Chulkov
AU  - Run Long
PY  - 2026
JO  - The Journal of Physical
Chemistry Letters
DO  - 10.1021/acs.jpclett.6c02595
UR  - https://doi.org/10.1021/acs.jpclett.6c02595
ER  -

APA

Meng, K., Vasenko, A. S., Chulkov, E. V., & Long, R. (2026). From Small Data to High Capacity: Symbolic Learning of Sodium-Ion Cathode Materials. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.6c02595

Source records

crossref · retrieved 2026-11-04T13:12:57.049Z