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The Computer

Subroutine MULLER. MULLER iteratively solves the equilibrium relations and computes the equilibrium vapor composition when organic acids are present. These compositions are used by subroutine PHIS2 to calculate fugacity coefficients by the chemical theory. [Pg.220]

The Supplement B (reference) contains a description of the process to render an automatic construction of mathematical models with the application of electronic computer. The research work of the Institute of the applied mathematics of The Academy of Sciences ( Ukraine) was assumed as a basis for the Supplement. The prepared mathematical model provides the possibility to spare strength and to save money, usually spent for the development of the mathematical models of each separate enterprise. The model provides the possibility to execute the works standard forms and records for the non-destructive inspection in complete correspondence with the requirements of the Standard. [Pg.26]

Integral terms extending on R are reduced to iJc using Boundary Integral Elements on the boundaries of the FEM domain (especially the influence of the source field hs). Inside the FEM domain, edge elements are used to compute the reaction field. [Pg.141]

Using Equ. (3.1), we can now compute the optimum frequency for cracks in various depths (see Fig. 3.2). For comparison, the optimum excitation frequency for a planar wave or a sheet inducer (300 x 160 mm) is also displayed. One finds that for a planar excitation source, a much lower excitation frequency is required, which causes a reducfion in the response signal of the crack of up to an order of magnitude in case of a small circular coil. [Pg.258]

Technology has converged and seems likely to continue to do so, particularly with the parallel developments in the personal computer. The P.C. today has the power needed to analyse and interpret the often confusing responses obtained in eddy current tests, in real time as the tests are being made. The responses we get from a testpiece come, as we all know, equally from features we are not interested in as they do from significant features. [Pg.273]

The starting point of imaging is the modelisation of the physical process implied when using the sensor once known the exci-tator geometry and the conductivity in any point of the tube, one must be able to compute the magnetic field at any point in the measurement area ... [Pg.357]

Scalogram applied to single detector signal allows notch localization along the main axis of the tube. However, no circonferential localization is possible so far. Of course, this objection can be bypassed by computing the scalogram simultaneously for the 16 detectors. But then the difficulty lies in the representation process, because of the need of real 3 dimensional representation. [Pg.363]

The offered method has allowed essentially to simplify the X-ray apparatus main circuit, to reduce weight and dimensions of the apparatus, to increase sensitivity and reliability of the inspection and to ensure the apparatus control by a computer The main principle is based on the operation of the transformer controlled by magnetic commutation (TCMC). [Pg.430]

Fig.4 Cross-sections in the (y z) plane of the cracks used in the computations. The dimensions are given in mm. Fig.4 Cross-sections in the (y z) plane of the cracks used in the computations. The dimensions are given in mm.
The system is driven by a software/working under window and rurming on personal computer. The system is based on using dialogue boxes which enable the user-software communication. The as-built system leads the operator step by step in its verification operations by indicating him the operations to perform. The system records the measurements results and stores them in the memory. [Pg.703]

The Champ-Sons model has been developed to quantitatively predict the field radiated by water- or solid wedge- eoupled transdueers into solids. It is required to deal with interfaces of complex geometry, arbitrary transducers and arbitrary excitation pulses. It aims at computing the time-dependent waveform of various acoustical quantities (displacement, velocity, traction, velocity potential) radiated at a (possibly large) number of field-points inside a solid medium. [Pg.736]

The P-scan System 4 can be configured in many ways, dependent on the application. Figure 1 shows a basic system configuration. The P-scan processor (PSP-4) controls the scanner and the water pump. Scarmer operation on site is performed from the remote control unit, as an alternative to the control from the computer. The PSP-4 also includes the ultrasonic system. [Pg.783]

In addition to the controlling computer the system contains only a small control unit - PSP-4 (weight approx. 5 kg.) which among other system components includes a motor control system integrated closely with the PS-4 ultrasonic system. For communication between the PSP-4 control unit and the robot as well as robot power supply is used a single cable less than 10 mm. in diameter. [Pg.870]

The multiple advantages of our process reengineering are improvement of the acquisitioii/analysis speed (times 4), the low cost as this in house application is based on personal computers, the easy and minimal cost upgrades can be performed by engineers and technicians, and an immediate inspection feedback implementation. [Pg.1009]

As in Section III-2A, it is convenient to suppose the two bulk phases, a and /3, to be uniform up to an arbitrary dividing plane S, as illustrated in Fig. Ill-10. We restrict ourselves to plane surfaces so that C and C2 are zero, and the condition of equilibrium does not impose any particular location for S. As before, one computes the various extensive quantities on this basis and compares them with the values for the system as a whole. Any excess or deficiency is then attributed to the surface region. [Pg.71]

Each hamionic temi in the Hamiltonian contributes k T to the average energy of the system, which is the theorem of the equipartition of energy. Since this is also tire internal energy U of the system, one can compute the heat capacity... [Pg.392]

Now we are in the correct position to compute F, using exactly die same kinds of arguments as in the computation of r, namely, the constmction of collision cylinders, computing the total volume of the relevant cylinders and again making the Stosszahlansatz. Thus, we find that... [Pg.681]

The tliree equation (A3,3,13). equation (A3,3,14) and equation (A3.3.15) are a usefiil starting point in many hydrodynamic problems. We now apply them to compute the density-density correlation fiinction... [Pg.723]

For the system in thennal equilibrium, one can compute the time-dependent mean square displacement (ICr)... [Pg.729]

We have thus far discussed the diffraction patterns produced by x-rays, neutrons and electrons incident on materials of various kinds. The experimentally interesting problem is, of course, the inverse one given an observed diffraction pattern, what can we infer about the stmctirre of the object that produced it Diffraction patterns depend on the Fourier transfonn of a density distribution, but computing the inverse Fourier transfomi in order to detemiine the density distribution is difficult for two reasons. First, as can be seen from equation (B 1.8.1), the Fourier transfonn is... [Pg.1369]

The orbitals from which electrons are removed can be restricted to focus attention on the correlations among certain orbitals. For example, if the excitations from the core electrons are excluded, one computes the total energy that contains no core correlation energy. The number of CSFs included in the Cl calculation can be far in excess of the number considered in typical MCSCF calculations. Cl wavefimctions including 5000 to 50 000 CSFs are routine, and fimctions with one to several billion CSFs are within the realm of practicality [53]. [Pg.2176]

This is because no four-indexed two-electron integral like expressions enter into the integrals needed to compute the energy. All such integrals involve p(r) or the product p(/)p(r) because p is itself expanded in a basis (say of M functions), even the term p(r)p(r) scales no worse than tvF. The solution of the KS equations for the KS orbitals ([). involves solving a matrix eigenvalue problem this... [Pg.2199]

Here X is tire reorganization energy associated witli the curvature of tire reactant and product free energy wells and tlieir displacement witli respect to one another. Assuming a stmctureless polarizable medium, Marcus computed the solvent or outer-sphere component of tire reorganization energy to be... [Pg.2975]


See other pages where The Computer is mentioned: [Pg.269]    [Pg.396]    [Pg.329]    [Pg.362]    [Pg.436]    [Pg.694]    [Pg.739]    [Pg.747]    [Pg.747]    [Pg.748]    [Pg.748]    [Pg.1029]    [Pg.669]    [Pg.690]    [Pg.890]    [Pg.1122]    [Pg.1174]    [Pg.1434]    [Pg.2157]    [Pg.2181]    [Pg.2182]    [Pg.2182]    [Pg.2269]    [Pg.2271]    [Pg.2344]    [Pg.2840]    [Pg.156]    [Pg.157]   
See also in sourсe #XX -- [ Pg.512 ]




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A Computer-Algebraic Approach to the Derivation of Feynman-Goldstone Perturbation Expansions for Open-Shell Atoms and Molecules

A Generalized Method for the Computer Analysis of Lipoprotein Distributions

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Accuracy of the Computational Methods

Algorithmic complexity and the principles of molecular computing

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Appendix. Examination of the Employment Environment for Computational Chemistry

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COMPUTATION OF THE PRESS STATISTIC

COMPUTATIONAL CHEMISTRY USING THE

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COMPUTERS IN THE LABORATORY

Computation Possibilities in the Melt Phase

Computation of Forces on the Ions

Computation of the BF3 Affinity

Computation of the CDF for Materials with Fiber Symmetry

Computation of the Fluxes

Computation of the Fluxes in Multicomponent Systems

Computation of the Heat Transfer Coefficient for External Flow

Computation of the Heat Transfer Coefficient for Given qw

Computation of the Inner Vortex Cut-Point

Computation of the Integral

Computation of the Residual

Computation of the grand potential

Computational Bayesian Approach to the Logistic Regression Model

Computational Chemistry Using the PC, Third Edition, by Donald W. Rogers

Computational Example Part I Determining the Model Parameters

Computational Methods for the Neutron Age

Computational Model for the Spin Dynamics

Computational Model of the Kinetics

Computational Modeling for the Rational MIP Design

Computational Models for the Prediction of Aerosol Dispersion

Computational Molecules in the Cell

Computational studies on the mechanism

Computational studies on the mechanism of orotidine monophosphate decarboxylase

Computational technique atomic orbitals as building blocks of the molecular wave function

Computations in the gas-phase

Computer Techniques for Using the IBM Card File

Computer Time Saving in the SCF Procedure

Computer generation of the classes

Computer misuse and the criminal law

Computer program for the design

Computing on the Internet

Computing on the fly

Computing the Correction Functions (7,p)

Computing the MFPT Matrix

Computing the Main Effects

Computing the Partition Function

Computing the Stoichiometric Subspace

Computing: and the Internet

Conclusions of the Computational Fluid Dynamics Study

Constructing the General Computation Scheme

DNA-based computing the idea

Diffusion in polymers - The computational approach

Efficient Computation of the Eigencomponents

Efficient Computation of the Sensitivity Coefficients

Example FDTD Computations of the Twisted Nematic Cell in One Dimension

Explicit Computation of the Concentration Profiles

Free Energy and the Entropy of Macromolecular Systems by Computer Simulation

How Computational Chemistry Became Important in the Pharmaceutical Industry

Modeling and the Computer Numerical Analysis vs Simulation

Natural phenomena as computing processes. The

Natural phenomena as computing processes. The physical limits of computation

Numerical Methods for Computing the Frequency Response

Observing or computing the different cycle numbers

Off-The-Shelf Computer Systems

Other Specialised Databases and the Use of Computers

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Role of the Computer

Solving Equations on the Computer

Spectra representation in the computer

Spectroscopy Part 3 - Computing the Derivative

Summary of the Computational Tests

THE PERSONAL COMPUTER (PC)

The Ab Initio Computation of Nuclear Magnetic Resonance Chemical Shielding

The Association for Computing

The Association for Computing Machinery

The British Computer Society

The Capabilities of Computational Chemistry

The Computation of MCB and MCA Scales

The Computational Aim

The Computational Future of Pharmacogenomics

The Computer Revolution

The Computer Systems Validation Process

The Computer as a Guide and Assistant in Retrosynthetic Analysis

The Computer program LUDI

The Computer-Based Laboratory

The Development of Computational Chemistry in Canada

The Development of Computational Chemistry in Germany

The Digital Computer

The Interplay between experiment and theory computational NMR spectroscopy of carbocations

The National Resource for Computation in Chemistry

The New Geometry of Computer Modeling

The Philosophy of Computational Chemistry

The Principles of X-ray Computed Tomography

The Protein Data Bank, Three-Dimensional Structures, and Computation

The QR method for computing all eigenvalues

The Simulation of a Physical Process and Analogous Computers

The Theory and Computation of Energy Deposition Properties

The Tools of Computational Chemistry

The Use of Interactive Computer Orientation

The ZUSE Computers

The computation procedure

The computational prediction of polymorphs

The computed number of cycles in monohemispheric auditory reaction tasks

The computer model

The construction of crystal structures by computer

The interplay between experiment and theory: computational NMR

The methods of computer simulation

The use of computers

The use of personal computers

Theoretical Methods to Compute the Dispersion Energy

Treating the computer as a black box

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Universal Computation in the Game of Life

Use of the Digital Computer

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