Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Experimental observation and measurements

Instrumentation for experimental observation and measurement is paramount in microstmcture-related research. One reason that surfaces, interfaces, and more complicated microstructures are a frontier of chemical engineering and processing research is that modem science has recently spawned a number of microstractural probes of unprecedented resolution and utility. For the first time, we have the proper tools to attack the molecular and chemical basis of microstructures. [Pg.182]

This chapter is concerned mainly with experimental observations and measurements, one purpose of which is to show how the mechanistic structures for hydrocarbon oxidation (Chapter 1) lead to the observed combustion characteristics, and to describe more recent chemical evidence from combustion studies in support of those interpretations (Section 6.5). It also paves the way to the discussion of spontaneous ignition, or autoignition, in spark-ignition engines, in Chapter 7. [Pg.545]

Obviously, the biological activities experimentally observed and measured encode various molecular structural features that can be bringing out to light. To gain this purpose it is necessary hard work for testing various molecular descriptors and QSAR techniques. [Pg.375]

Experimental observations and measurements are interpreted by means of a theoretical framework that is capable of modelling the cold plastic deformation of polymers with pressure-sensitive yield surfaces. Qualitative evidence of the adequacy of the model to provide explanation of the results provides the link between theory and experimentation. [Pg.328]

When thermoforming parts from textile composite materials, it is useful to understand the deformation mechanisms, which take place inside them, so that the forming process can be optimized to produce parts of the best quality. The experimental observations and measurements considered in Section 4 are helpful for a general understanding, but do not provide enough detail to reveal the actual mechanisms. The following sections attempt to investigate these mechanisms in more detail. [Pg.274]

The title, CHEMISTRY—An Experimental Science, states the theme of this one year course. A clear and valid picture of the steps by which scientists proceed is carefully presented and repeatedly used. Observations and measurements lead to the development of unifying principles... [Pg.481]

Note The assignment of empirical formulae from accurate mass measurements always must be in accordance with the experimentally observed and the calculated isotopic pattern. Contradictions strongly point towards erroneous interpretation of the mass spectrum. [Pg.103]

Figure 10.5 Increase of the signal to noise ratio in non-crystallographic symmetry averaging. In (a) is shown a one-dimensional representation of the electron density of a macromolecule. In (b), a graph of the noise that results from the sources of errors in the crystallographic process, including experimental phasing and measurement errors. In (c), the observed density composed of the true electron density with the noise component. In (d), the effect of non-crystallographic symmetry improves the signal from the macromolecule while decreasing the noise level, the dotted lines shows the level of bias. Figure 10.5 Increase of the signal to noise ratio in non-crystallographic symmetry averaging. In (a) is shown a one-dimensional representation of the electron density of a macromolecule. In (b), a graph of the noise that results from the sources of errors in the crystallographic process, including experimental phasing and measurement errors. In (c), the observed density composed of the true electron density with the noise component. In (d), the effect of non-crystallographic symmetry improves the signal from the macromolecule while decreasing the noise level, the dotted lines shows the level of bias.
By contrast, few such calculations have as yet been made for diffusional problems. Much more significantly, the experimental observables of rate coefficient or survival (recombination) probability can be measured very much less accurately than can energy levels. A detailed comparison of experimental observations and theoretical predictions must be restricted by the experimental accuracy attainable. This very limitation probably explains why no unambiguous experimental assignment of a many-body effect has yet been made in the field of reaction kinetics in solution, even over picosecond timescale. Necessarily, there are good reasons to anticipate their occurrence. At this stage, all that can be done is to estimate the importance of such effects and include them in an analysis of experimental results. Perhaps a comparison of theoretical calculations and Monte Carlo or molecular dynamics simulations would be the best that could be hoped for at this moment (rather like, though less satisfactory than, the current position in the development of statistical mechanical theories of liquids). Nevertheless, there remains a clear need for careful experiments, which may reveal such effects as discussed in the remainder of much of this volume. [Pg.255]

Chemistry is an experimental / I science. Challenge students to sharpen their skills of observation and measurement, relating laboratory work to concepts discussed in lecture. [Pg.4]

The reviewer confronted with the task of providing a comprehensive treatment of the conductivity of organic solids and covering both theoretical and experimental aspects faces an almost impossible situation. The body of experimental information is enormous and yet there is no unified theoretical approach which can adequately interpret all observations and measurements. Therefore, it is imperative in such a situation that the writer state his terms of reference and restrict his treatment to cover selected topics. The requirement to... [Pg.159]

The optical measurements presented in the previous chapters can be used to either characterize local, microstractural properties or as probes of bulk responses to orientation processes. In either case, it is normally desirable to make the connection between experimental observables and their molecular or microstractural origins. The particular molecular properties that are probed will naturally depend on the physical interaction between the light and the material. This chapter explores molecular models and theories that describe these interactions and identifies the properties of complex materials that can be extracted from measurements of optical anisotropies. The presentation begins with a discussion of molecular models that are applied to polymeric materials. Using these models, optical phenomena such as birefringence, dichroism, and Rayleigh and Raman scattering are predicted. Models appropriate for particulate systems are also developed. [Pg.109]

Figure 9. Sketch showing experimental set-up for observation and measurement of candoluminescence and candoluminescence spectra. Figure 9. Sketch showing experimental set-up for observation and measurement of candoluminescence and candoluminescence spectra.
There is a striking similarity between the experimentally observed and the theoretically calculated profiles, and all four characteristic features occur in both. The calculated location of the minimum, which mainly depends on the vacancy mobility, is close to the location observed in the experiment. The computed temperature dependence of the depth of the minimum corresponds with the results of the measurement. Obviously, the stoichiometry polarization model of resistance degradation correctly predicts the conductivity variations. In particular the almost quantitative agreement of the very characteristic shape of the conductivity distribution proves the validity of the existing model described above. It should be noted that in the calculations only the hole mobility is chosen such that the theoretically and the experimentally observed depth of the minimum is similar, but all other parameters used in the simulation are taken from literature [77, 336, 338],... [Pg.61]

Summary The matrix-spectroscopic identification and photochemical interconversion of the isomeric silylenes 3-5, and silacyclopropyne (6) are of interest in many ways. For one, their isolation serves to illustrate the potential of matrix isolation spectroscopy. In addition, the structural assignments for these species are based on the comparison of the experimentally observed and calculated IR spectra and therefore emphasize the importance of simultaneously applying quantum chemical calculations and spectroscopic measurements. Moreover, practically no examples exist for this class of silylene rearrangements. Lastly, the C2H2Si isomers eventually play a decisive role in the chemistry of interstellar clouds. [Pg.303]

Experimentally observed values, measured for crystallizing polymer (polyethylene) compositions are somewhat higher than L , as calculated by (29). It is possible to explain this fact by the reduced heat release at PE-keroplast crystallization as compared to the basic polymer (see Eq. (23)). In all cases, the difference between experimental and calculated by (29) L , values never exceeded 15%. Therefore, Eq. (29) can be recommended for engineering calculation of the length of filling the moulding form of any thermoplast. [Pg.22]

The ensuing lowering of (3u/3pH) p has been experimentally observed and Is a measure of the hydrodynamic thickness of the adsorbed layer. Let us call this and for the sake of simplicity interpret it as identical to the shift of a slip plane, originally situated at the outer Helmholtz plane (fig. 4.42). Let us also assume that near the p.z.c. the value of is not much affected by the presence of segments in the Stem layer (in the plateau this approximation is poorer). Then [4.10.1) can be applied again, but d /dyr now follows from (3.5.22). Carrying out the differentiation, one obtains... [Pg.604]

Using the Claus reaction as a model reaction, Sloot et al. [1990] has experimentally measured reaction conversions and verified the above concept of confining and shifting a reaction plane or zone for two opposing reactant streams inside a porous catalytic membrane. The agreement between the experimentally observed and calculated (based on the dusty-gas model) molar flux of H2S is reasonably good [Sloot et al., 1992]. The simplified model based on Equation (10-101) is a good approximation for dilute systems where the mole fractions of the reactants and products are lower than that of the inert gas. [Pg.472]

The purpose of most practical work is to observe and measure a particular characteristic of a chemical system. However, it would be extremely rare if the same value was obtained every time the characteristic was measured, or with every experimental subject. More commonly, such measurements will show variability, due to measurement error and sampling variation. Such variability can be displayed as a frequency distribution (e.g. Fig. 37.3), where the y axis shows the number of times (frequency,/) each particular value of the measured variable (T) has been obtained. Descriptive (or summary) statistics quantify aspects of the frequency distribution of a sample (Box 40.1). You can use them to condense a large data set, for presentation in figures or tables. An additional application of descriptive statistics is to provide estimates of the true values of the underlying frequency distribution of the population being sampled, allowing the significance and precision of the experimental observations to be assessed (p. 272). [Pg.264]

It may be noted that for ta = 0, Equation 26.4 gives rise to Equation 26.3. The changes in the transmembrane potential have been experimentally observed and quantitatively measured. [Pg.747]

Some general properties for stochastic errors have been established for impedance measurements through experimental observation and simulations. The results described here correspond to additive time-domain errors. The comparison between simulations and experimental results obtained via Fourier analysis supports the suggestion that the nature of experimental time-domain errors is likely to be additive rather than proportional ... [Pg.413]

However, this measure of the scattered product at a given value of J (equivalently, at a fixed classical impact parameter) is not an experimental observable, and therefore one needs to sum up the different contributions of different impact parameters leading to reaction to be able to compare theory to experiment. By coherently summing different S matrix elements corresponding to different values of J, one obtains the scattering amplitude given by the expression... [Pg.217]

The pioneering work of Benedek and Purcell (1954) on the observation and measurement of NMR parameters as a function of pressure has opened up the possibility of obtaining structural, dynamic and kinetic information about materials by NMR. Two reviews have reported extensively on the experimental techniques available for NMR... [Pg.189]


See other pages where Experimental observation and measurements is mentioned: [Pg.124]    [Pg.592]    [Pg.72]    [Pg.124]    [Pg.592]    [Pg.72]    [Pg.110]    [Pg.128]    [Pg.250]    [Pg.47]    [Pg.73]    [Pg.621]    [Pg.225]    [Pg.6]    [Pg.68]    [Pg.1415]    [Pg.383]    [Pg.446]    [Pg.332]    [Pg.71]    [Pg.331]    [Pg.59]    [Pg.51]    [Pg.406]    [Pg.247]    [Pg.350]    [Pg.190]    [Pg.407]    [Pg.350]    [Pg.17]    [Pg.175]   


SEARCH



Experimental measurement

Experimental observation and

Observations Measurement

© 2024 chempedia.info