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Further benchmarks of a composite, convergent, statistically calibrated coupled-cluster-based approach for thermochemical and spectroscopic studies

机译:用于热化学和光谱研究的基于复合,聚合,统计校准的基于耦合簇的方法的其他基准

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A flexible, high-level, composite approach based on coupled cluster theory has been used to predict the atomization energies and equilibrium structures of 13 small, first-row compounds. Each of the major components in this approach can be systematically improved, thereby providing a practical measure of the inherent uncertainty (or degree of convergence) in the final results. Comparison with Active Thermochemical Table data, which relies on a network of experimental and theoretical data, showed excellent agreement for the atomization energies. With the addition of the latest molecular systems to the Computational Results Database, the composite approach was found to yield a mean absolute deviation of 0.19 kcal mol−1 and a root-mean-square deviation of 0.31 kcal mol−1 across 142 comparisons. If the analysis is limited to experimental data with estimated uncertainties of 0.2 kcal mol−1 or less, the error metrics are cut in half. Similar good agreement is found with experimental structures, but the relative scarcity of accurate equilibrium structures limits the significance of the statistical analysis. Unavoidably, many of the comparisons could not be made with r e structural parameters. Explicitly correlated methods were found to be effective at replicating results obtained from the standard method with large basis sets, thereby reducing the high computational cost for several of the components.View full textDownload full textKeywordselectronic structure, thermochemistry, molecular structureRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00268976.2012.684897
机译:一种基于耦合簇理论的灵活的高级复合方法已用于预测13种第一行小化合物的雾化能和平衡结构。可以系统地改进此方法中的每个主要组件,从而为最终结果中的固有不确定性(或收敛程度)提供实用的度量。与基于实验和理论数据网络的主动热化学表数据进行比较,显示出雾化能极佳的一致性。通过将最新的分子系统添加到“计算结果数据库”,发现该复合方法产生的平均绝对偏差为0.19kcal·mol -1 ,并且具有均方根值142个比较中的0.31 kcal·mol -1>的均方差。如果分析仅限于估计不确定度为0.2kcal·mol -1 的实验数据,则误差指标将减少一半。实验结构具有相似的良好一致性,但是精确平衡结构的相对稀缺性限制了统计分析的重要性。不可避免地,许多比较无法通过r e 结构参数进行。发现显式相关的方法可以有效地复制从具有大基集的标准方法获得的结果,从而降低了多个组件的高计算成本。查看全文下载全文关键词电子结构,热化学,分子结构相关的var addthis_config = {ui_cobrand: “泰勒和弗朗西斯在线”,services_compact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00268976.2012.684897

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