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

fig7

From:  Taking materials dynamics to new extremes using machine learning interatomic potentials
Taking materials dynamics to new extremes using machine learning interatomic potentials

Figure 7. Complex structural transformations in molecular materials such as (A) hydrogen[131], (B) H2O[75] and (C) Azapentacene[132].

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

Committee on Publication Ethics

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

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/
Discover Content
Follow OAE
Twitter
Facebook
LinkedIn
YouTube
BiLiBiLi
WeChat
© 2016-2025 OAE Publishing Inc., except certain content provided by third parties