Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 5, 2024Applied and Computational EngineeringOpen Access

Applications of machine learning in materials science: From a methodological point of view

View Full Paper
Ask AI
Bookmark
Share

Authors

QLQuanliang Liu

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Quanliang Liu (2024) studied this question.

synapsesocial.com/papers/68e5d779b6db64358756d203https://doi.org/10.54254/2755-2721/85/20240609
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine Learning in Materials Science: Data-Driven Discovery and Functional Applications2026 · 1 citations
  2. 2Material discovery and modeling acceleration via machine learning2024 · 32 citations
  3. 3Computation and machine learning for materials: Past, present, and future perspectives2025
  4. 4Machine learning in materials research: developments over the last decade and challenges for the future2024 · 5 citations
  5. 5Machine Learning Toolkits and Frameworks for Materials Design2026 · 7 citations