http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36512605

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publicationName Nanoscale
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bibliographicCitation Jin K, Wang W, Qi G, Peng X, Gao H, Zhu H, He X, Zou H, Yang L, Yuan J, Zhang L, Chen H, Qu X. An explainable machine-learning approach for revealing the complex synthesis path-property relationships of nanomaterials. Nanoscale. 2023 Sep 29;15(37):15358–67. doi: 10.1039/d3nr02273k. PMID: 37698588.
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date 2023-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1039/d3nr02273k
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title An explainable machine-learning approach for revealing the complex synthesis path–property relationships of nanomaterials

Total number of triples: 36.