Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation

Clicks: 253
ID: 33230
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
xiong2020evaluatingcomputational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xiong, Z.
Journal computational materials science
Year 2020
DOI
10.1016/j.commatsci.2019.109203
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.