Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks

Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks

The crystal structures of orthosilicate cathode materials play a critical role in determining the physical and chemical properties of Li-ion batteries. Accurate predictions of these crystal structures are essential for estimating key properties of cathode materials in battery applications. In this s...

Full description

Saved in:
Bibliographic Details
Main Authors: Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Batteries
Subjects:
density functional theory
artificial neural network
crystal system
classification
orthosilicate
Li-ion batteries
Online Access:https://www.mdpi.com/2313-0105/11/1/13
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items