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Data for "Machine Learning Predictions of Irradiation Embrittlement in Reactor Pressure Vessel Steels"

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DataCite Commons2022-04-07 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Data_for_Machine_Learning_Predictions_of_Irradiation_Embrittlement_in_Reactor_Pressure_Vessel_Steels_/12816437
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资源简介:
To ensure all publicly available data used in this paper are easily accessible and adequately archived, we have placed the following files in the SI and on Figshare with DOI 10.6084/m9.figshare.12816437. The IVAR+ database is not publicly available and therefore this data is not included in any of the shared files. Requests for the IVAR+ data should be sent to G. R. Odette at odette@engineering.ucsb.edu. The databases used in this study are still under development. The part analyzed here is available upon request to evaluate the correctness of our results but based on an agreement that there would not be further dissemination.1. Figures Data: Fig X.csv and Fig SX.csv contain all the data used to make Figure X and Figure SX in the manuscript and the SI, respectively, except for the data that may directly revealed the experimentally determined of a given alloy composition.2. Tables Data: Table X.csv and Table SX.csv contain all the data used to make Table X and Table SX in the manuscript and the SI, respectively.3. Model parameters: Model_coef_X.csv and Model_kernel_X.csv contain the coefficient and the Gaussian kernel matrix that we used in creating the model at the full-fit prediction, where X is CD or Expt, accounting for using CD-IVAR+ and IVAR+ as the training data set.

为确保本文所使用的全部公开可用数据均便于获取且得到妥善归档,我们已将以下文件上传至补充材料(Supplementary Information,简称SI)以及DOI为10.6084/m9.figshare.12816437的Figshare平台。IVAR+数据库未对公众开放,因此未被纳入任何共享文件。如需获取IVAR+数据集,请向G. R. Odette发送请求,邮箱地址为odette@engineering.ucsb.edu。本研究使用的数据库仍处于开发阶段,本文所分析的部分数据可应要求提供以验证我们的研究结果正确性,但需遵守不得进一步传播该数据的协议。 1. 图表数据:Fig X.csv与Fig SX.csv分别包含用于制作正文中图X以及补充材料中图SX的全部数据,直接涉及特定合金成分实验测定值的数据除外。 2. 表格数据:Table X.csv与Table SX.csv分别包含用于制作正文中表X以及补充材料中表SX的全部数据。 3. 模型参数:Model_coef_X.csv与Model_kernel_X.csv包含我们在构建全拟合预测模型时所用的系数与高斯核矩阵,其中X可取CD或Expt,分别对应以CD-IVAR+与IVAR+作为训练数据集的场景。
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figshare
创建时间:
2020-08-17
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