Title: Computational timings of Traditional and Quasi-Variational Coupled-Cluster methods


Citation
Black JA, Knowles PJ (2017). Computational timings of Traditional and Quasi-Variational Coupled-Cluster methods. Cardiff University. https://doi.org/10.17035/d.2017.0038224453


This data is not currently available because: Intent to publish project results


Access Rights: Creative Commons Attribution 4.0 International

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk


Cardiff University Dataset Creators


Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2017

Coverage start date: 01/05/2017

Coverage end date: 31/05/2017

Data format: .zip, .csv

Software Required: None

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 1

DOI : 10.17035/d.2017.0038224453

DOI URL: http://doi.org/10.17035/d.2017.0038224453


Description

Single point energy calculations were carried out on six alkanes (methane, ethane, propane, butane, pentane, hexane) and the total wall timings recorded, ie. the real time that each calculation takes to complete. The calculations used traditional coupled-cluster methods (CCD, CCSD, CCSD(T), BCCD(T)), as well as quasi-variational coupled-cluster methods (QVCCD, OQVCCD, OQVCCD(T), OQVCCDAR(T), OQVCCD(T) (old code)). All these calculations were carried out with the Molpro computational chemistry package on a single Intel Xeon (Westmere/X5660) 2.80 GHz processor.

This dataset includes a .zip archive containing a text file in comma-separated value (.csv) format. This file is separated into columns; the first and second columns denote the system and basis set (VXZ is shorthand for cc-pVXZ) used in each calculation. The remaining columns contains the wall timings for all the methods in seconds.

Also included in the .zip file are the input Molpro files for each system.


Related Projects

Last updated on 2024-17-04 at 13:35