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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Claim

High-Throughput and Explainable Machine Learning for Lacquer Formulations: Enhancing Coating Development by Interpretable Models: Data and Code

Research datakeyboard_double_arrow_right Dataset 20 Nov 2024 German Publisher:Zenodo
Authors: Zhang, Gaoyuan; Borgert, Tobias; Stoffelen-Janssen, Carmen; Wagner, Lasse; Schmitz, Christian;

doi: 10.5281/zenodo.13742098 , 10.5281/zenodo.13742097

High-Throughput and Explainable Machine Learning for Lacquer Formulations: Enhancing Coating Development by Interpretable Models: Data and Code

Abstract

Code, Dataset and HTE running details of the paper "High-Throughput and Explainable Machine Learning for Lacquer Formulations: Enhancing Coating Development by Interpretable Models"

Related Organizations
Keywords

FOS: Materials engineering, Coating and films, Materials engineering

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average