Article Details
Retrieved on: 2025-04-17 23:13:03
Tags for this article:
Click the tags to see associated articles and topics
Summary
The article explores how machine learning models can predict properties of the CoFe₂O₄ spinel crystal, focusing on cation distribution, magnetic moments, and superexchange constants. This study ties machine learning to condensed matter physics, emphasizing magnetic materials like ferrites. The tags related to magnetic properties and structures align with this study's focus on the spinel group's ferromagnetic characteristics.
Article found on: www.nature.com
This article is found inside other hiswai user's workspaces. To start your own collection, sign up for free.
Sign UpAlready have an account? Log in here