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: Sangiovanni, D. G., Kjellén, A., Trybel, F., Johnson, L. J. S., Odén, M., Tasnádi, F., Abrikosov, I. A.
Format: Preprint
Published: 2024
Subjects:
Materials Science
Online Access:https://arxiv.org/abs/2412.15874
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/2412.15874

Similar Items

  • Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability
    by: Mukhamedov, Boburjon, et al.
    Published: (2024)
  • Machine-learning potentials for nanoscale simulations of deformation and fracture: example of TiB$_2$ ceramic
    by: Lin, Shuyao, et al.
    Published: (2023)
  • Electronic structure and oxidation states in high-pressure synthesized isostructural CeCN$_5$ and TbCN$_5$
    by: Ehn, Amanda, et al.
    Published: (2026)
  • Halogen Chains with One-Dimensional Semi-Metallic Electronic Structure and Peierls Physics in Polymorphs of Na4X5 (X = I, Br, Cl) Compounds
    by: Yin, Yuqing, et al.
    Published: (2025)
  • Symmetry-restricted energy landscapes as a benchmark for machine learned interatomic potentials
    by: Parackal, Abhijith S, et al.
    Published: (2026)

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