skip to main content

Title: Materials Classification & Accelerated Property Predictions using Machine Learning

Examine reliability of ML methods for “small” data sets and potenial for new insights – role of excess effective born charge as a feature.
Authors:
 [1] ;  [1] ;  [1] ;  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Univ. of Connecticut, Storrs, CT (United States)
Publication Date:
OSTI Identifier:
1184607
Report Number(s):
LA-UR--15-24327
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
Laboratory Directed Research and Development (LDRD), Los Alamos, NM (United States)
Country of Publication:
United States
Language:
English
Subject:
Materials Science(36) Material Science