Significantly Improving the Prediction of Molecular Atomization Energies by an Ensemble of Machine Learning Algorithms and Rescanning Input Space: A Stacked Generalization Approach

Title
Significantly Improving the Prediction of Molecular Atomization Energies by an Ensemble of Machine Learning Algorithms and Rescanning Input Space: A Stacked Generalization Approach
Authors
Keywords
-
Journal
Journal of Physical Chemistry C
Volume 122, Issue 16, Pages 8868-8873
Publisher
American Chemical Society (ACS)
Online
2018-04-12
DOI
10.1021/acs.jpcc.8b03405

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started