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: Xu, Xiang, Körmann, Fritz, Divinski, Sergiy, Grabowski, Blazej, Zhang, Xi
Format: Preprint
Published: 2026
Subjects:
Materials Science
Online Access:https://arxiv.org/abs/2605.04969
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2605.04969

Similar Items

  • Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
    by: Zhang, Xi, et al.
    Published: (2023)
  • Hydrogen diffusion in TiCr$_2$H$_x$ Laves phases: A combined ab initio and machine-learning-potential study
    by: Kumar, Pranav, et al.
    Published: (2025)
  • Accelerating ab initio melting property calculations with machine learning: Application to the high entropy alloy TaVCrW
    by: Zhu, Li-Fang, et al.
    Published: (2024)
  • Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
    by: Xu, Xiang, et al.
    Published: (2025)
  • Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li$_6$PS$_5$Cl using machine-learning interatomic potentials
    by: Ou, Yongliang, et al.
    Published: (2024)

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