...
首页> 外文期刊>Combustion and Flame >A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions
【24h】

A systematic method to estimate and validate enthalpies of formation using error-cancelling balanced reactions

机译:使用消除错误的平衡反应估算和验证形成焓的系统方法

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents an automated framework that uses overlapping subsets of reference data to systematically derive an informed estimate of the standard enthalpy of formation of chemical species and assess the consistency of the reference data. The theory of error-cancelling balanced reactions (EBRs) is used to calculate estimates of the standard enthalpy of formation. Individual EBRs are identified using linear programming. The first part of the framework recursively identifies multiple EBRs for specified target species. A distribution of estimates can then be determined for each species from which an informed estimate of the enthalpy is derived. The second part of the framework iteratively isolates inconsistent reference data and improves the prediction accuracy by excluding such data. The application of the framework is demonstrated for test cases from organic and inorganic chemistry, including transition metal complexes. Its application to a set of 920 carbon, hydrogen and oxygen containing species resulted in a rapid decrease of the mean absolute error for estimates of the enthalpy of formation of each species due to the identification and exclusion of inconsistent reference data. Its application to titanium-containing species identified that the available reference values of TiOCI and TiO(OH)(2) are inconsistent and need further attention. Revised values are calculated for both species. A comparison with popular high-level quantum chemistry methods shows that the framework is able to use affordable density functional theory (DFT) calculations to deliver highly accurate estimates of the standard enthalpy of formation, comparable to high-level quantum chemistry methods for both hydrocarbons and transition metal complexes. (C) 2017 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:本文提出了一个自动框架,该框架使用参考数据的重叠子集来系统地得出化学物质形成的标准焓的知情估计,并评估参考数据的一致性。消除误差的平衡反应(EBR)理论用于计算标准形成焓的估计值。使用线性编程可以识别单个EBR。框架的第一部分递归地为指定目标物种识别多个EBR。然后可以确定每个物种的估计分布,从中可以得出焓的已知估计。框架的第二部分迭代地隔离不一致的参考数据,并通过排除此类数据来提高预测准确性。该框架适用于有机和无机化学测试案例,包括过渡金属配合物。由于鉴定和排除了不一致的参考数据,将其应用于一组920个含碳,氢和氧的物质后,平均绝对误差的迅速降低,用于估计每种物质的形成焓。它在含钛物种中的应用表明,TiOCI和TiO(OH)(2)的可用参考值不一致,需要进一步关注。计算出两个物种的修正值。与流行的高级量子化学方法进行的比较表明,该框架能够使用负担得起的密度泛函理论(DFT)计算来提供对标准形成焓的高精度估算,这与烃和碳氢化合物的高级量子化学方法相当。过渡金属配合物。 (C)2017燃烧研究所。由Elsevier Inc.出版。保留所有权利。

著录项

  • 来源
    《Combustion and Flame》 |2018年第1期|105-121|共17页
  • 作者单位

    Univ Cambridge, Dept Chem Engn & Biotechnol, West Cambridge Site,Philippa Fawcett Dr, Cambridge CB3 0AS, England;

    Univ Cambridge, Dept Chem Engn & Biotechnol, West Cambridge Site,Philippa Fawcett Dr, Cambridge CB3 0AS, England;

    Univ Cambridge, Dept Chem Engn & Biotechnol, West Cambridge Site,Philippa Fawcett Dr, Cambridge CB3 0AS, England;

    Univ Cambridge, Dept Chem Engn & Biotechnol, West Cambridge Site,Philippa Fawcett Dr, Cambridge CB3 0AS, England|Nanyang Technol Univ, Sch Chem & Biomed Engn, 62 Nanyang Dr, Singapore 637459, Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Enthalpy of formation; Heat of formation; Error-cancelling balanced reactions; Validation; Big data; Data consistency;

    机译:形成焓;形成热;消除错误的平衡反应;验证;大数据;数据一致性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号