Efficient implementation of the interacting quantum atoms energy partition of the second‐order Møller–Plesset energy

We describe an efficient implementation of the partition of the second‐order Møller–Plesset (MP2) correlation energy within the interacting quantum atoms (IQA) energy decomposition. We simplify the IQA integration bottleneck by considering only the occupied to virtual elements of the second order re...

Full description

Saved in:
Bibliographic Details
Published in:Journal of computational chemistry Vol. 41; no. 13; pp. 1234 - 1241
Main Authors: Casals‐Sainz, José Luis, Guevara‐Vela, José Manuel, Francisco, Evelio, Rocha‐Rinza, Tomás, Martín Pendás, Ángel
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 15-05-2020
Wiley Subscription Services, Inc
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We describe an efficient implementation of the partition of the second‐order Møller–Plesset (MP2) correlation energy within the interacting quantum atoms (IQA) energy decomposition. We simplify the IQA integration bottleneck by considering only the occupied to virtual elements of the second order reduced density matrix, a procedure that reduces substantially the size of the two‐electron matrix, which has to be addressed. The algorithmic improvements described herein allow to perform the decomposition of the MP2 correlation energy for medium size molecular systems using moderate computational resources. We expect that the methods developed in this investigation will prove useful to understand electron correlation effects through a real space perspective. An efficient implementation of the IQA/MP2 energy decomposition is presented. Improvements allow for real space analyses of the MP2 correlationenergy for medium size molecules using moderate computational resources.
Bibliography:Funding information
Consejo Nacional de Ciencia y Tecnología, Grant/Award Number: 253776; Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología, Grant/Award Number: IDI‐2018‐ 000177; Ministerio de Ciencia e Innovación, Grant/Award Number: PGC2018‐095953‐B‐I0; Universidad Nacional Autónoma de México, Grant/Award Numbers: IN205118, LANCAD‐UNAM‐DGTIC 250; European Union, Grant/Award Number: PGC2018‐095953‐B‐I00
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0192-8651
1096-987X
DOI:10.1002/jcc.26169