Exploring the potential energy surface of small lead clusters using the gradient embedded genetic algorithm and an adequate treatment of relativistic effects-Reference-Cited by-同舟云学术

Exploring the potential energy surface of small lead clusters using the gradient embedded genetic algorithm and an adequate treatment of relativistic effects

Published:2018 Issue:1 Volume:8 Page:145-152
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Rabanal-León Walter A.¹²³⁴⁵^ORCID,Tiznado William¹²³⁴⁵^ORCID,Osorio Edison⁶⁷⁸⁹,Ferraro Franklin⁶⁷⁸⁹^ORCID

Affiliation:

1. Departamento de Ciencias Químicas

2. Facultad Ciencias Exactas

3. Universidad Andres Bello

4. Santiago

5. Chile

6. Departamento de Ciencias Básicas

7. Universidad Católica Luis Amigó

8. Medellín

9. Colombia

Abstract

Theoretical inclusion of relativistic effects (scalar and spin–orbit) play a crucial role to assure an adequate structural assignment on lead clusters.

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/RA/C7RA11449D

Reference74 articles.

1. Clusters, Superatoms, and Building Blocks of New Materials

2. Cluster-Assembled Materials

3. Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon