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: Ramakrishna, Kushal, Lokamani, Mani, Cangi, Attila
Format: Preprint
Published: 2026
Subjects:
Materials Science
Disordered Systems and Neural Networks
Computational Physics
Online Access:https://arxiv.org/abs/2605.28395
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/2605.28395

Similar Items

  • Electrical Conductivity of Warm Dense Hydrogen from Ohm's Law and Time-Dependent Density Functional Theory
    by: Ramakrishna, Kushal, et al.
    Published: (2024)
  • Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys
    by: Wei, Zixiong, et al.
    Published: (2024)
  • Rapid Assessment of Stable Crystal Structures in Single Phase High Entropy Alloys Via Graph Neural Network Based Surrogate Modelling
    by: Beaver, Nicholas, et al.
    Published: (2024)
  • Machine Learning-Driven Structure Prediction for Iron Hydrides
    by: Tahmasbi, Hossein, et al.
    Published: (2023)
  • Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system
    by: Chandraker, Abhinav, et al.
    Published: (2023)

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