Journal of Materials Informatics
All Journals
Search Log In
Home Articles Special Issues Volumes Webinars Videos
Journal of Materials Informatics
Search Submit
Home Articles Special Issues Volumes Webinars Videos

fig4

From:  A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data
A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data

Figure 4. Graph illustrating the distribution of data points. (A) The original data distribution in a 3D space; and (B) its distribution in a 2D space after dimensionality reduction by the PCA algorithm. PCA: Principal Component Analysis.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Navigation
Follow Us
Navigation

Committee on Publication Ethics

https://publicationethics.org/members/journal-materials-informatics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Committee on Publication Ethics

https://publicationethics.org/members/journal-materials-informatics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/
partners@oaepublish.com Company Contact Us
Discover Content
Follow OAE
Twitter
Facebook
LinkedIn
YouTube
BiLiBiLi
WeChat
© 2016-2024 OAE Publishing Inc., except certain content provided by third parties