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: Kim, Jaehoon, Moon, Minseok, Cho, Hyunsung, Kim, Hyeon-Deuk, Kim, Rokyeon, Park, Gyehyun, Han, Seungwu, Kang, Youngho
Format: Preprint
Published: 2026
Subjects:
Materials Science
Online Access:https://arxiv.org/abs/2603.11416
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View
Be the first to leave a comment!
You must be logged in first

Similar Items

  • Atomistic insights into hydrogen migration in IGZO from machine-learning interatomic potential: linking atomic diffusion to device performance
    by: Cho, Hyunsung, et al.
    Published: (2025)
  • Data-efficient multi-fidelity training for high-fidelity machine learning interatomic potentials
    by: Kim, Jaesun, et al.
    Published: (2024)
  • Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
    by: Park, Yutack, et al.
    Published: (2024)
  • A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations
    by: Oh, Sangmin, et al.
    Published: (2026)
  • Electronic structures of crystalline and amorphous GeSe and GeSbTe compounds using machine learning empirical pseudopotentials
    by: Kang, Sungmo, 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