scholarly journals Mean square of the dipole moment of a macromolecule as a function of the ordering of its monomeric units

2021 ◽  
pp. 30-33
Author(s):  
N. N. Matveev ◽  
V. I. Lisitsyn ◽  
V. V. Saushkin ◽  
N. S. Kamalova

The most important information for the practical use of flexible-chain polymers is the change in structure in the presence of external influences. A conformational model for calculating the mean square of the dipole moment of a macromolecule is constructed in this work, provided that there is no correlation between the conformations of monomer units in a heterogeneous temperature field.

2021 ◽  
pp. 44-45
Author(s):  
N. N. Matveev ◽  
V. I. Lisitsyn ◽  
V. V. Saushkin ◽  
N. S. Kamalova

Due to the widespread use of polyethylene oxide (PEO) in modern technologies, studies of the relationship between its supramolecular structure and properties by means of modeling methods have recently intensified, but usually the conformational features of the structure of polymers are not taken into account in modeling. Using the example of PEO, the article substantiates a method for calculating the influence of the conformations of a polymer molecule on the temperature dependence of the averaged square of the dipole moment of its molecules.


1978 ◽  
Vol 48 ◽  
pp. 227-228
Author(s):  
Y. Requième

In spite of important delays in the initial planning, the full automation of the Bordeaux meridian circle is progressing well and will be ready for regular observations by the middle of the next year. It is expected that the mean square error for one observation will be about ±0.”10 in the two coordinates for declinations up to 87°.


2003 ◽  
Vol 14 (3) ◽  
pp. 265-268 ◽  
Author(s):  
Maurizio Magarini ◽  
Arnaldo Spalvieri ◽  
Guido Tartara

2018 ◽  
Vol 934 (4) ◽  
pp. 59-62
Author(s):  
V.I. Salnikov

The question of calculating the limiting values of residuals in geodesic constructions is considered in the case when the limiting value for measurement errors is assumed equal to 3m, ie ∆рred = 3m, where m is the mean square error of the measurement. Larger errors are rejected. At present, the limiting value for the residual is calculated by the formula 3m√n, where n is the number of measurements. The article draws attention to two contradictions between theory and practice arising from the use of this formula. First, the formula is derived from the classical law of the normal Gaussian distribution, and it is applied to the truncated law of the normal distribution. And, secondly, as shown in [1], when ∆рred = 2m, the sums of errors naturally take the value equal to ?pred, after which the number of errors in the sum starts anew. This article establishes its validity for ∆рred = 3m. A table of comparative values of the tolerances valid and recommended for more stringent ones is given. The article gives a graph of applied and recommended tolerances for ∆рred = 3m.


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