Navigating materials design spaces with efficient Bayesian optimization: a case study in functionalized nanoporous materials
Copyright policy ) Panagiotis Krokidas; Vassilis Gkatsis; John Theocharis; George Giannakopoulos;
Navigating materials design spaces with efficient Bayesian optimization: a case study in functionalized nanoporous materials
Bayesian optimization with non-random initialization, coupled with an XGBoost regressor trained on BO-acquired samples, reduces experimental cost while efficiently identifying top-performing instances in large design spaces.
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selected citations
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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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
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