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...
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Published in: | Journal of computational chemistry Vol. 41; no. 13; pp. 1234 - 1241 |
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Main Authors: | , , , , |
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 |
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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. |
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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 |