Least-Squares Mass-Dependence Molecular Structures.

نویسندگان

  • Watson
  • Roytburg
  • Ulrich
چکیده

The major part of the difference between the zero-point and equilibrium moment of inertia of a molecule is a homogeneous function of degree 12 in the atomic masses. The use of explicit mathematical models of is studied here as a means of determining near-equilibrium molecular structures from the zero-point moments of inertia of a range of isotopomers. It is found that models with more than two parameters per axis generally give strongly correlated fits for the number of isotopomers typically available. The two-parameter model, where N is the number of atoms, mi are the atomic masses, and M is the molecular mass, usually gives well-conditioned fits with standard deviations in the parts-per-million range, and structures called that are often close to equilibrium structures. Laurie-type corrections for hydrogen atoms and parameters to describe isotopic rotations of the epsilon tensor can also be included. Copyright 1999 Academic Press.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Partial least squares for dependent data.

We consider the partial least squares algorithm for dependent data and study the consequences of ignoring the dependence both theoretically and numerically. Ignoring nonstationary dependence structures can lead to inconsistent estimation, but a simple modification yields consistent estimation. A protein dynamics example illustrates the superior predictive power of the proposed method.

متن کامل

Joint mean and covariance estimation with unreplicated matrix - variate data ∗

It has been proposed that complex populations, such as those that arise in genomics studies, may exhibit dependencies among observations as well as among variables. This gives rise to the challenging problem of analyzing unreplicated high-dimensional data with unknown mean and dependence structures. Matrixvariate approaches that impose various forms of (inverse) covariance sparsity allow flexib...

متن کامل

Nonlinear Identification and Control of Coupled Mass-Spring-Damper System using Polynomial Structures

The paper aims to identify and control the coupled mass-spring-damper system. A nonlinear discrete polynomial structure is elaborated. Its parameters are estimated using Recursive Least Squares (RLS) algorithm. Moreover, a feedback stabilizing control law based on Kronecker power is designed. Finally, simulations are presented to illustrate the effectiveness of the proposed structure. Keywords—...

متن کامل

Modeling Spatial Dependence and Spatial Heterogeneity in County Yield Forecasting Models

The implications of ignoring potential spatial dependence in county-level yield data are discussed. Spatial dependence in a county-level yield data set is identified and methods for correcting the dependence via spatial weighting matrices and generalized least squares regression are performed. The paper also examines how the spatial dependence declines as the distance between observations incre...

متن کامل

ar X iv : n uc l - th / 9 50 50 31 v 1 2 2 M ay 1 99 5 Nuclear incompressibility : An analytical study on leptodermous expansion

A comparative study of the liquid-drop model (LDM) type expansions of energy E and compression modulus K A is made within the energy density formalism using Skyrme interactions. As compared to the energy expansion, it is found that, in the pure bulk mode of density vibration, the LDM expansion of K A shows an anomalous convergence behaviour due to pair effect. A least squares fit analysis is do...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of molecular spectroscopy

دوره 196 1  شماره 

صفحات  -

تاریخ انتشار 1999