D2VP: A Visual First Platform for Diagnosing Data Distribution Mismatch Toward Reliable Machine Learning in Materials Science.

Shao X, Dong Z, Ma P, Li L, Yao T, Yan Y, Li M, Gao Z, Yang W

Open source

DOI
10.1002/cphc.202500702
Published
2026 May 14
Container
Chemphyschem : a European journal of chemical physics and physical chemistry
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1002/cphc.202500702,
  title = {D2VP: A Visual First Platform for Diagnosing Data Distribution Mismatch Toward Reliable Machine Learning in Materials Science.},
  author = {Shao X and Dong Z and Ma P and Li L and Yao T and Yan Y and Li M and Gao Z and Yang W},
  year = {2026},
  journal = {Chemphyschem : a European journal of chemical physics and physical chemistry},
  doi = {10.1002/cphc.202500702},
  url = {https://doi.org/10.1002/cphc.202500702}
}

RIS

TY  - JOUR
TI  - D2VP: A Visual First Platform for Diagnosing Data Distribution Mismatch Toward Reliable Machine Learning in Materials Science.
AU  - Shao X
AU  - Dong Z
AU  - Ma P
AU  - Li L
AU  - Yao T
AU  - Yan Y
AU  - Li M
AU  - Gao Z
AU  - Yang W
PY  - 2026
JO  - Chemphyschem : a European journal of chemical physics and physical chemistry
DO  - 10.1002/cphc.202500702
UR  - https://doi.org/10.1002/cphc.202500702
ER  - 

APA

X, S., Z, D., P, M., L, L., T, Y., Y, Y., M, L., Z, G., & W, Y. (2026). D2VP: A Visual First Platform for Diagnosing Data Distribution Mismatch Toward Reliable Machine Learning in Materials Science.. Chemphyschem : a European journal of chemical physics and physical chemistry. https://doi.org/10.1002/cphc.202500702

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