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Benchmark formula

Warshel is to utilize a formula identical to (11.22) in this chapter to compute the free energy change. They employed an empirical valence bond (EVB, below) approach to approximately model electronic effects, and the calculations included the full experimental structure of carbonic anhydrase. An H/D isotope effect of 3.9 1.0 was obtained in the calculation, which compared favorably with the experimental value of 3.8. This benchmark calculation gives optimism that quantum effects on free energies can be realistically modeled for complex biochemical systems. [Pg.416]

Belt-conveyor scales, 26 244—245 Belt filter press, 25 913 Belt saponification, in vinyl alcohol polymerization, 25 609-610 Benard instability, 11 764 Benazepril hydrochloride, molecular formula and structure, 5 149t Benchmark dose and margin-of-exposure method, 25 244... [Pg.91]

It is expected that formulation scientists will use this information to benchmark their internal development protocols and reduce the time required to file by adopting formulae that have survived the test of time. Many of us who have worked in the pharmaceutical industry suffer from a fixed paradigm when it comes to selecting formulations Not invented here perhaps is kept in the back of the minds of many seasoned formulations scientists when they prefer certain platforms for development. It is expected that with a quick review of the formulation possibilities that are made available in this book such scientists would benefit from the experience of others. For teachers of formulation sciences this series offers a wealth of information. Whether it is selection of a preservative system or the choice of a disintegrant, the series offers many choices to study and consider. [Pg.241]

Because Equation (31.4) is mathematically equivalent to either Equation (31.5) or (31.6) (shown below), the formula for MOEatrazine simazine in Equation (31.4) is of the proper form - namely, a benchmark dose corresponding to a known amount of toxicity, divided by a cumulative dose from exposure that reflects the relative toxicity of the cumulated chemicals. [Pg.492]

Benchmarking is an allocation methodology that works with historic data, but instead of basing the allocation on historic emissions data, it integrates historic input or output data into the allocation formula in order to differentiate the allocation between more and less carbon-efficient installations. [Pg.31]

The peak velocity is 1.5 times the average velocity for flow between parallel plates. These formulas are provided here because they provide a good benchmark against which to check any numerical solution by integrating over boundaries. [Pg.151]

A commonly used system measures — directly or otherwise — partition between water and octan-l-ol to derive the distribution coefficient (Pow), and then applies an empirical formula to translate these values into bioconcentration factors (BCF) using a range of benchmark compounds. As would be expected, the numerical relationships depend on the organism used so that different equations result. Some equations that have been used for different organisms are the following (Mackay 1982 Hawker and Connell 1986) ... [Pg.138]

For instance, consider a hypothetical case in which a callable bond has a price equal to 103.78. Suppose that the benchmark yield curve changes by 1 basis point. For a downward parallel shift, the price obtained is 103.83, while for an upward shift the price is 103.73. Therefore, applying Formula (11.1) the bond s effective duration is around 4.93. [Pg.220]

In order to calculate optimized benchmark proportions, the following formula was implemented ... [Pg.257]

Table I presents a summary of the results of the KENO-IV Monte Cario nuclear criticality calculations for the facilities and accidents considered. It. should be noted that the KENO-IV results given in Table I must be adjusted upward by adding the method uncertainty (U) (Reb. 5, 6). U is obtained using the formula U = [(K S ) + (KjSj) , where K is the one-sided 95-95 tolerance limit factor of the benchmaiik criticality calculations, S is the standard deviation of the benchmark calculations, Kj ( I -7) is the onesided 95-95 tolerance limit factor for the inidividual KENO calculations performed in this study, and S2 is the standard demtion of the individual KENO.calculation. U is thus composed of two parts. The first (K S ) is due to the spread in the individual values of keff calculated for the benchmark criticals. The seepnd (KiS is due to the statistics of the specific KENO calculation, wtuchi results from the fact that less than an infinite sample of neutron historic is calcula. There is a 95% probability with 95% confidence that the true k-effective will be less than or equal to the adjusted value given in Table I. Table I presents a summary of the results of the KENO-IV Monte Cario nuclear criticality calculations for the facilities and accidents considered. It. should be noted that the KENO-IV results given in Table I must be adjusted upward by adding the method uncertainty (U) (Reb. 5, 6). U is obtained using the formula U = [(K S ) + (KjSj) , where K is the one-sided 95-95 tolerance limit factor of the benchmaiik criticality calculations, S is the standard deviation of the benchmark calculations, Kj ( I -7) is the onesided 95-95 tolerance limit factor for the inidividual KENO calculations performed in this study, and S2 is the standard demtion of the individual KENO.calculation. U is thus composed of two parts. The first (K S ) is due to the spread in the individual values of keff calculated for the benchmark criticals. The seepnd (KiS is due to the statistics of the specific KENO calculation, wtuchi results from the fact that less than an infinite sample of neutron historic is calcula. There is a 95% probability with 95% confidence that the true k-effective will be less than or equal to the adjusted value given in Table I.
Scheme 65 Structural formulas of the D-ti-A copolymers of ZnP with 2,3-bis (4-trifluoromethylphenyl) pyrido[3,4-b]pyrazine, PI, and perylene diimide, P2, as well as the D-ti-D copolymer of ZnP with dithienothiophene, P3, and the benchmark ZnP, R, used in Ref [137]... Scheme 65 Structural formulas of the D-ti-A copolymers of ZnP with 2,3-bis (4-trifluoromethylphenyl) pyrido[3,4-b]pyrazine, PI, and perylene diimide, P2, as well as the D-ti-D copolymer of ZnP with dithienothiophene, P3, and the benchmark ZnP, R, used in Ref [137]...
Scheme 69 General struchiral formula of the PPor-1 and PPor-2 polymer in Ref. [146]. The a b molar ratio for PPor-1 and PPor-2 was 3 2 and 6 5, respectively, and for the PTh4FBT benchmark polymer without the porphyrin moiety, it was 1 1... Scheme 69 General struchiral formula of the PPor-1 and PPor-2 polymer in Ref. [146]. The a b molar ratio for PPor-1 and PPor-2 was 3 2 and 6 5, respectively, and for the PTh4FBT benchmark polymer without the porphyrin moiety, it was 1 1...
Bancewicz et al have discussed colKsion-induced HRS spectra of gaz-eous H2-Ar mixture on the basis of ab initio calculations of the collision-induced first hyperpolarizability tensor, Ap. The independent spherical components of the Ap values, evaluated at the MP2 level using the [%s6p5dAf and [6sAp2d[ basis sets for Ar and H atoms, have been fitted to analytical formulas expressing their dependence on the intermolecular distance and then employed as input data to analyze the HRS data. The good agreement between the quantum and semiclassical approaches can be treated as a benchmark proof of both the method s feasibility and accuracy. [Pg.73]

All the remaining parameters are semiempirical Rq and are cutoff radii adjusted to each atomic pairwise and three-body. Coefficients s (n=8,10, — ) are fitted in benchmark calculations depending on functionals combined, while Se is one or an adjusted value less than 1. For dispersion coefficients, C and time-dependent DFT (TDDFT) and recursion relations are used to determine the values for each atonuc pairwise and three-body. The lowest-order Ca is expressed in the Casimer-Polder formula [51],... [Pg.254]


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See also in sourсe #XX -- [ Pg.220 , Pg.221 ]




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