Computational study of molecules for quadratic nonlinear optical applications : orthogonal orientation of dipole vector and hyperpolarisability pseudo vector

نویسندگان

  • S. Sharma
  • P. Gangopadhyay
  • A. Swathi
  • T. P. Radhakrishnan
چکیده

In pushÈpull organic molecules of interest in quadratic nonlinear optical (NLO) applications, the major hyperpolarisability component usually lies along the dipole axis. Most of these molecules crystallise with the dipole moment vectors of near neighbors aligned antiparallel, leading to near-cancellation of their hyperpolarisability tensor components and poor bulk NLO response. Appropriate design of these molecules can often e†ect an orthogonal orientation of their molecular planes in the crystalline state even when the major dipole axes are aligned antiparallel. In this paper we show that if the hyperpolarisability pseudo vector (deÐned using the projections of the tensor components) in these molecules is oriented orthogonal to their dipole vector, appreciable bulk NLO response can be generated. We present results of a semiempirical computational investigation carried out in a combinatorial chemical sense to delineate the structural features that encourage such orientation of the hyperpolarisability and dipole vectors within a molecule.

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

Applications of quadratic D-forms to generalized quadratic forms

In this paper, we study generalized quadratic forms over a division algebra with involution of the first kind in characteristic two. For this, we associate to every generalized quadratic from a quadratic form on its underlying vector space. It is shown that this form determines the isotropy behavior and the isometry class of generalized quadratic forms.

متن کامل

Support vector regression with random output variable and probabilistic constraints

Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. Using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

متن کامل

SHAPE OPTIMIZATION OF CONCRETE GRAVITY DAMS CONSIDERING DAM–WATER–FOUNDATION INTERACTION AND NONLINEAR EFFECTS

This study focuses on the shape optimization of concrete gravity dams considering dam–water–foundation interaction and nonlinear effects subject to earthquake. The concrete gravity dam is considered as a two–dimensional structure involving the geometry and material nonlinearity effects. For the description of the nonlinear behavior of concrete material under earthquake loads, the Drucker–Prager...

متن کامل

Vector ultrametric spaces and a fixed point theorem for correspondences

In this paper, vector ultrametric spaces are introduced and a fixed point theorem is given for correspondences. Our main result generalizes a known theorem in ordinary ultrametric spaces.

متن کامل

Determination of 137Ba Isotope Abundances in Water Samples by Inductively Coupled Plasma-optical Emission Spectrometry Combined with Least-squares Support Vector Machine Regression

A simple and rapid method for the determination of 137Ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (ICP-OES) coupled with least-squares support vector machine regression (LS-SVM) is reported. By evaluation of emission lines of barium, it was found that the emission line at 493.408 nm provides the best results for the determination...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999