Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis.

You Z, Qin Y, Gao Y, Mu Z, Liu F, Ge SS.

Open source

DOI
10.3390/molecules31162808
Published
2026-08-12
Container
Molecules
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/molecules31162808,
  title = {Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis.},
  author = {You Z and  Qin Y and  Gao Y and  Mu Z and  Liu F and  Ge SS.},
  year = {2026},
  journal = {Molecules},
  doi = {10.3390/molecules31162808},
  url = {https://doi.org/10.3390/molecules31162808}
}

RIS

TY  - JOUR
TI  - Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis.
AU  - You Z
AU  -  Qin Y
AU  -  Gao Y
AU  -  Mu Z
AU  -  Liu F
AU  -  Ge SS.
PY  - 2026
JO  - Molecules
DO  - 10.3390/molecules31162808
UR  - https://doi.org/10.3390/molecules31162808
ER  -

APA

Z, Y., Y, Q., Y, G., Z, M., F, L., & SS., G. (2026). Interpretable Small-Sample Deep Learning with Approximate Attribution Enhancement for Atomically Precise Gold Nanoclusters Synthesis.. Molecules. https://doi.org/10.3390/molecules31162808

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