Tree Growth—Hybrid Genetic Algorithm for Predicting the Structure of Small (TiO2)n, n = 2–13, Nanoclusters
Author:
Affiliation:
1. Department of Chemistry, The University of Alabama, Shelby Hall, Box 870336, Tuscaloosa, Alabama 35487-0336, United States
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry,Computer Science Applications
Link
https://pubs.acs.org/doi/pdf/10.1021/ct400105c
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