Can One Hear the Shape of a Molecule (from its Coulomb Matrix Eigenvalues)?

Can One Hear the Shape of a Molecule (from its Coulomb Matrix Eigenvalues)?
复制标题

人们能听到分子的形状(从其库仑矩阵特征值)吗?

DOI:
10.1021/acs.jcim.0c00631
复制
发表时间:
2020
影响因子:
5.6
通讯作者:
Schrier, Joshua
Schrier, Joshua
中科院分区:
化学2区
文献类型:
--
作者:
Schrier, Joshua

文献摘要

参考文献

被引文献

相似文献

库仑矩阵本征值(CME)是分子结构的全局3D表示,之前已用于预测原子化能、优先考虑几何搜索和解释旋转光谱。CME表示的性质及其与分子结构的关系,建立使用Gershgorin圆定理。数值边界的研究使用的数据集的309 000构象样本的所有结构异构体的无环烷烃,CnH2n+2,从甲烷(n= 1)十一烷(n= 11),建立在何种程度上的CME保留化学直觉的异构体和构象相似性和它的能力,以区分结构异构体。无论是有监督的还是无监督的机器学习算法都不能随着分子大小的增加而完美地区分结构异构体,但错误分类率可以保持在1%以下。
Coulomb matrix eigenvalues (CMEs) are global 3D representations of molecular structure, which have been previously used to predict atomization energies, prioritize geometry searches, and interpret rotational spectra. The properties of the CME representation and its relationship to molecular structure are established using the Gershgorin circle theorem. Numerical bounds are studied using a data set of 309 000 conformational samples of all constitutional isomers of acyclic alkanes, CnH2n+2, from methane (n= 1) to undecane (n= 11), to establish the extent to which the CME preserves chemical intuitions about isomer and conformer similarity and its ability to distinguish constitutional isomers. Neither supervised nor unsupervised machine-learning algorithms can perfectly distinguish constitutional isomers as the molecular size increases, but the misclassification rate can be kept below 1%.
DOI: --
发表时间: 2016
期刊: Scientific Computing and Algorithms in Industrial Simulations
影响因子: --
作者:
James Barker;J. Bulin;J. Hamaekers;Sonja Mathias
通讯作者: Sonja Mathias
DOI: 10.26434/chemrxiv.11920914.v1
发表时间: 2020-03
影响因子: 2.2
作者:
Dakota L Folmsbee;G. Hutchison
通讯作者: Dakota L Folmsbee;G. Hutchison
DOI: 10.1021/acs.jmedchem.0c00385
发表时间: 2020-08-27
影响因子: 7.3
作者:
Chuang, Kangway, V;Gunsalus, Laura M.;Keiser, Michael J.
通讯作者: Keiser, Michael J.
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者:
Van;LeBa Khiet;P. T. Lam;D. H. Chi
通讯作者: D. H. Chi
DOI: 10.1021/acs.jpclett.5b00831
发表时间: 2015-06-18
影响因子: 5.7
作者:
Hansen, Katja;Biegler, Franziska;Ramakrishnan, Raghunathan;Pronobis, Wiktor;von Lilienfeld, O. Anatole;Mueller, Klaus-Robert;Tkatchenko, Alexandre
通讯作者: Tkatchenko, Alexandre