Exploration of the Underlying Space in Microscopic Images via Deep Learning for Additively Manufactured Piezoceramics-Reference-Cited by-同舟云学术

Exploration of the Underlying Space in Microscopic Images via Deep Learning for Additively Manufactured Piezoceramics

Author:

Yang Wenhua¹,Wang Zhuo²,Yang Tiannan³^ORCID,He Li⁴,Song Xuan⁴^ORCID,Liu Yucheng¹,Chen Lei²⁵^ORCID

Affiliation:

1. Department of Mechanical Engineering, Mississippi State University, Mississippi State, Mississippi 39762, United States

2. Department of Mechanical Engineering, University of Michigan−Dearborn, Dearborn, Michigan 48128, United States

3. Department of Materials Science and Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States

4. Department of Industrial and Systems Engineering, Iowa Technology Institute, University of Iowa, Iowa City, Iowa 52242 United States

5. Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan 48109, United States

Funder

Division of Civil, Mechanical and Manufacturing Innovation

Department of Mechanical Engineering, University of Michigan-Dearborn

Michigan Institute of Data Science, University of Michigan

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

Reference68 articles.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献