Compositionally-informed machine learning for solid-state electrolyte design: a structure-free approach

Qian Zhao, Zhihua Li, Yurong Ren, Lin Shi, Shoukun Xu

Open source

DOI: 10.1039/d6nr01499b
Published: 2026
Container: Nanoscale
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d6nr01499b,
  title = {Compositionally-informed machine learning for solid-state electrolyte design: a structure-free approach},
  author = {Qian Zhao and Zhihua Li and Yurong Ren and Lin Shi and Shoukun Xu},
  year = {2026},
  journal = {Nanoscale},
  doi = {10.1039/d6nr01499b},
  url = {https://doi.org/10.1039/d6nr01499b}
}

RIS

TY  - JOUR
TI  - Compositionally-informed machine learning for solid-state electrolyte design: a structure-free approach
AU  - Qian Zhao
AU  - Zhihua Li
AU  - Yurong Ren
AU  - Lin Shi
AU  - Shoukun Xu
PY  - 2026
JO  - Nanoscale
DO  - 10.1039/d6nr01499b
UR  - https://doi.org/10.1039/d6nr01499b
ER  -

APA

Zhao, Q., Li, Z., Ren, Y., Shi, L., & Xu, S. (2026). Compositionally-informed machine learning for solid-state electrolyte design: a structure-free approach. Nanoscale. https://doi.org/10.1039/d6nr01499b

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crossref · retrieved 2026-09-26T06:33:25.048Z