Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Yang, Qifan, Fu, Xiao, Gong, Xuhe, Lian, Jingchen, Wang, Liqi, Xiao, Ruijuan, Hu, Yong-Sheng, Li, Hong
Format: Preprint
Published: 2025
Subjects:
Materials Science
Online Access:https://arxiv.org/abs/2510.23251
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View
Description
Description not available.

Similar Items

  • Atomic insight into Li$^+$ ion transport in amorphous electrolytes Li$_x$AlO$_y$Cl$_{3+x-2y}$ (0.5 $\leq$ x $\leq$ 1.5, 0.25 $\leq$ y $\leq$ 0.75)
    by: Qifan, Yang, et al.
    Published: (2024)
  • Li$_{14}$Mn$_{2}$S$_{9}$ and Li$_{10}$Si$_{2}$S$_{9}$ as a pair of all-electrochem-active electrode and solid-state electrolyte with chemical compatibility and low interface resistance
    by: Yang, Qifan, et al.
    Published: (2024)
  • High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties
    by: Fu, Xiao, et al.
    Published: (2025)
  • High-Throughput NEB for Li-Ion Conductor Discovery via Fine-Tuned CHGNet Potential
    by: Lian, Jingchen, et al.
    Published: (2025)
  • Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
    by: Gong, Xuhe, et al.
    Published: (2025)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs