Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning

Name: Replication Data for: Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning
Creator: Stony Brook University; SLAC National Accelerator Laboratory; Stanford University; Harvard University
Published: 2019-01-01T00:00:00+08:00

Harvard Dataverse2019-05-10 更新2026-04-09 收录

纳米材料原子分布分析

催化材料机器学习

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YBAVZF 数据链接链接失效反馈

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资源简介：

The data underlying this published work have been made publicly available in this repository as part of the IMASC Data Management Plan. This work was supported as part of the Integrated Mesoscale Architectures for Sustainable Catalysis (IMASC), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award # DE-SC0012573.

提供机构：

Stony Brook University; SLAC National Accelerator Laboratory; Stanford University; Harvard University

创建时间：

2019-01-01