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2篇 您的检索式：作者名="Daniel Dopp"

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		题名	作者	年代	出处	被引量
	1	Benchmarking materials property prediction methods:the Matbench test set and Automatminer reference algorithm显示文摘We present a benchmark test suite and an automated machine learning procedure for evaluating supervised machine learning(ML)models for predicting properties of inorganic bulk materials.The test suite,Matbench,is a set of 13 ML tasks that range in size from 312 to 132k samples and contain data from 10 density functional theory-derived and experimental sources.	Alexander Dunn Qi Wang Alex Ganose Daniel Dopp Anubhav Jain	2020	npj Computational Materials2020，，1：	7
	2	Author Correction:Benchmarking materials property prediction methods:the Matbench test set and Automatminer reference algorithm显示文摘The original version of the Article contained an error in Fig.3,in which the label at the top of the first column of Fig.3 originally incorrectly read‘Yield Strength(GPa)’,rather than the correct‘Yield Strength(MPa)’.This has been corrected in both the PDF and HTML versions of the Article.	Alexander Dunn Qi Wang Alex Ganose Daniel Dopp Anubhav Jain	2020	npj Computational Materials2020，，1：	7

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