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: Liu, Juejing, Anderson, Haydn, Waxman, Noah I., Kovalev, Vsevolod, Fisher, Byron, Li, Elizabeth, Guo, Xiaofeng
Format: Preprint
Published: 2025
Subjects:
Materials Science
Machine Learning
Online Access:https://arxiv.org/abs/2507.07293
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/2507.07293

Similar Items

  • Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning
    by: Juejing Liu, et al.
    Published: (2026)
  • Data-Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data
    by: Liu, Juejing, et al.
    Published: (2025)
  • Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids
    by: Li, Yanfei, et al.
    Published: (2024)
  • Machine Learning for Improved Density Functional Theory Thermodynamics
    by: Simak, Sergei I., et al.
    Published: (2025)
  • On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants
    by: Avilov, Fedor S., 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