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Simulation surface

Molecular mechanics methods have been used particularly for simulating surface-liquid interactions. Molecular mechanics calculations are called effective potential function calculations in the solid-state literature. Monte Carlo methods are useful for determining what orientation the solvent will take near a surface. Molecular dynamics can be used to model surface reactions and adsorption if the force held is parameterized correctly. [Pg.319]

To understand the impact of individual processes on the compartmental distribution of DDT, model runs with a non-steady-state, zero-dimensional, multimedia mass balance box model (MPI-MBM) [Lammel (2004)] were conducted in addition to MPI-MCTM experiments. Parameterisations of intra- and intercompartmental mass exchange and conversion process in MPI-MBM are similar to those in MPI-MCTM. A detailed description of differences and a comparison of both models can be found in Lammel et al (2007). The DDT emissions were the global mean temporally varying DDT applications for the years 1950 to 1990. A repeating annual cycle around constant mean temperatures was simulated. Surface and air temperatures differ by 14 K constantly. [Pg.52]

Figure 6 Flow along a simulated surface roughness (protrusion type) at Re 0.02, visualized using aluminum powder. Note the vortex generated downstream of the cube. Flow is from left to right as indicated by the arrow (added by the author). Source Adapted from Ref. 13, Sec. 12.1 (original by Taneda S. J Phys Soc Jpn 1979 46 1935). Figure 6 Flow along a simulated surface roughness (protrusion type) at Re 0.02, visualized using aluminum powder. Note the vortex generated downstream of the cube. Flow is from left to right as indicated by the arrow (added by the author). Source Adapted from Ref. 13, Sec. 12.1 (original by Taneda S. J Phys Soc Jpn 1979 46 1935).
Metal cluster compounds simulate surface species produced by the interaction of molecules with metal surfaces (Muetterties et al, 1979) and this is of value in understanding heterogeneous catalysis. The development of selective catalysts for the C, chemical industry employing CO (and possibly CO2) as the raw material has resulted in major efforts in metal cluster research. Criteria have been developed to distinguish between cluster catalysis and mononuclear catalysis. Typical of the catalysts investigated hitherto are [Ir4(CO),2. <(PPh3)J where Ph = phenyl and X = 1, 2 or 3. [Pg.354]

Catalysis of metal-cluster compounds is a field of considerable interest (Lewis Green, 1982 Haggin, 1982). Metal clusters (Section 6.6) containing aggregates of metal atoms surrounded by ligands provide model systems that simulate surface intermediates formed by chemisorption of molecules on metal surfaces (Muetterties et al, 1979). An example of a cluster catalyst is Os3(CO),2, which was found to be active in the... [Pg.521]

Figure 4.94 Numerically simulated surface of the absolute velocity in a structured square... Figure 4.94 Numerically simulated surface of the absolute velocity in a structured square...
A number of studies, also by our group, have been devoted to the comparison of the kinetics of direct and sensitized photolysis in real or simulated surface waters (see e.g. [68-74]), but it is difficult to draw a definite conclusion because... [Pg.401]

Figure 1.47. Morphology of PFPE films from MC simulations (a) schematic of simulated surface roughness for (b) molecular weight dependence [Np = 10 (upper), 15 (middle), 20 (bottom)] and (c) endbead functionality dependence [ pw — if = 1 (upper) and p, — if — 4 (bottom)]. Figure 1.47. Morphology of PFPE films from MC simulations (a) schematic of simulated surface roughness for (b) molecular weight dependence [Np = 10 (upper), 15 (middle), 20 (bottom)] and (c) endbead functionality dependence [ pw — if = 1 (upper) and p, — if — 4 (bottom)].
For instance, this kind of quasi-immobilisation may result from multiple adsorption of one polymer chain at the fibre surface [210]. As shown by Bitsanis and Pan [211] by means of molecular dynamics (MD) simulations surface-induced ordering of chain segments can be expected which is re-... [Pg.143]

Biogenic VOC and NO emissions are calculated on-line based on land use data, simulated surface temperature and radiation. Anthropogenic emissions of primary pollutants, like NOx, SO2, and hydrocarbons, as well as emissions of primary particulate matter have to be supplied either at hourly intervals or as yearly data from gridded emission inventories. Validation studies with MCCM have shown its ability to reproduce observed meteorological quantities and pollutant concentrations for different conditions and regions of the Earth (Forkel and Knoche 2006 Forkel et al. 2004 Grell et al. 1998, 2000 JazcUevich et al. 2003 Kim and Stockwell 2007 Suppan and Skouloudis 2003 Suppan and Schadler 2004 Suppan 2010). [Pg.82]

These pseudopotentials are inconvenient because the resulting pseudoorbitals are eigenfunctions to different Hamiltonians. We developed a more suitable scheme [44], [45] based on the Christiansen-Lee-Pitzer approach [9]. Let us consider first the construction of pseudopotentials, then their use for molecular systems, and, finally, for simulating surfaces and bulk of solids. [Pg.138]

Simulated surface area per gram of catalyst and simulated surface concentration of A1 are both in good quantitative agreement with measurements carried out on a leached NiAl precursor alloy that did not contain Ni2Al3 phase. [Pg.158]

Effect on Confined Systems Corrosion Problems Fracture Fatigue Nano Characterisation Test Methodology Computer Simulation Surface Modification Surface Treatments Surface Problems in Contact Mechanics Fracture Mechanics Coupled Analysis and Experiments Thin Coatings Thick Coatings Contact Mechanics Material Surfaces in Contact Applications and Case Studies Indentation and Hardness Adhesion Bonding. [Pg.188]

Figures 3.17 and 3.18 show the 12-h simulated surface wind vector and temperature differences between the control run (CNTR) without FDDA and the run with 6-h FDDA between 6-h and 12-h model time. As expected, at the end of FDDA the most notable discrepancies with the highest magnitudes close to 3.5 m/s and 0.50°C in the surface winds and temperatures, respectively, occur over the WTM area. However, the differences dissipate rapidly after FDDA is turned off. In 3 h, the maximum differences are less than 1 m/s in wind speed, while 0.30°C in temperature (not... Figures 3.17 and 3.18 show the 12-h simulated surface wind vector and temperature differences between the control run (CNTR) without FDDA and the run with 6-h FDDA between 6-h and 12-h model time. As expected, at the end of FDDA the most notable discrepancies with the highest magnitudes close to 3.5 m/s and 0.50°C in the surface winds and temperatures, respectively, occur over the WTM area. However, the differences dissipate rapidly after FDDA is turned off. In 3 h, the maximum differences are less than 1 m/s in wind speed, while 0.30°C in temperature (not...
The use of MM5 simulated surface flow alone to run the HPAC model worked reasonably well in some cases but not so in other cases. The failure has a profound impact on 12-h plume prediction. The most desirable built-in HPAC input mode appears to be the 3D profile form of MM5 model data in all cases. [Pg.78]

Figures 22 and 23 illustrate the simulated evolution in C, F, and Si content of the layers for 100-eV CFj impacts at normal incidence, as a function of ion fluence (Abrams and Graves, 1999). Ion fluence is simply the product of ion flux and time, or the number of ions that have hit the simulated surface. Sometimes the unit of monolayer is used, which refers to a number of ions equal to the number of atoms in the topmost layer. These figures also show the statistical repeatability of three runs, including results from a cell with twice the surface area (--1000 A ). It can be clearly seen from Fig. 22 that C and F build up rapidly, with an initial sticking probability of unity, then after a fluence of 500 impacts (equivalent to about 10 monolayers or 10 ions cm"2), the layer composition reaches steady state. Later, evidence is... Figures 22 and 23 illustrate the simulated evolution in C, F, and Si content of the layers for 100-eV CFj impacts at normal incidence, as a function of ion fluence (Abrams and Graves, 1999). Ion fluence is simply the product of ion flux and time, or the number of ions that have hit the simulated surface. Sometimes the unit of monolayer is used, which refers to a number of ions equal to the number of atoms in the topmost layer. These figures also show the statistical repeatability of three runs, including results from a cell with twice the surface area (--1000 A ). It can be clearly seen from Fig. 22 that C and F build up rapidly, with an initial sticking probability of unity, then after a fluence of 500 impacts (equivalent to about 10 monolayers or 10 ions cm"2), the layer composition reaches steady state. Later, evidence is...
The type of processes the code is capable of simulating. For example, the capability of simulating surface complexation and ion-exchange will dictate the choice of code. Table 4.2 lists the type of chemical reactions that the most popular codes can simulate. [Pg.101]

Because of the complex mineralogy of the Uinta Sandstone and the complex chemistiy of the leachate, it was impractical to measure all of the parameters needed to simulate surface reactions using the complexation algorithms in MINTEQ. Therefore, the more generalized approach of using empirical Kd values for Li and F was tested and found to be appropriate. The Kd parameter represents a general descriptor of the surface reactions occurring in this rock-fluid system. As is well known, the Kd is not a universal parameter but must be tested and verified for each system of interest. [Pg.141]

In 1941, the replica technique was introduced to simulate surfaces of materials normally opaque to electrons (38). Radiation damage to the specimen became recognized (39). and special techniques for viewing pigment powders were devised (40). [Pg.741]

Solubility The surfactant must be fully soluble in formation as well as in injection brines and in all brines of intermediate salinity. Solubility must be maintained both at room temperature (simulating surface injection) and at reservoir temperature. [Pg.264]

Other exciting frontier areas of research in chemical engineering include molecular and nanoscale engineering, molecular simulation, surface modification, protein separation processes, supercritical fluid extraction, fluid particle systems, catalysis and reaction engineering, biochemical engineering, and computer-aided design, see also Careers in Chemistry. [Pg.225]

Coe, M. T. and Harrison, S. P. (2000). A comparison of the simulated surface water area in norhtern Africa for the 6000 year B.P. PMIP experiments. In Paleoclimate Modeling Intercomparison Project, Proceedings of the Third Conference." (P. Braconnot, Ed.),WCRP. [Pg.83]


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See also in sourсe #XX -- [ Pg.239 ]




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Coarse-grained simulation, surface

Coarse-grained simulation, surface interface

Computer simulation of water molecules at mineral surfaces

Computer simulations, solid surface polymer

Geometries, computer simulation metal surfaces

Interfacial water simulations surface potentials

Lateral Interactions the Simulation of Overall Surface Reaction Rates

Metal surfaces, computer simulation

Molecular simulation surface properties using

Monte Carlo simulation curved surfaces

Monte Carlo simulations potential energy surfaces

Monte Carlo simulations, generation potential surfaces

Potential energy surfaces simulation techniques

Protein-surface interactions molecular simulation

SIMULATIONS OF OXIDE GLASS SURFACES

Simulated surfaces

Simulated surfaces

Simulation of Electron Spectra for Surface

Simulation of Electron Spectra for Surface Analysis (SRD

Simulation of Saturated Droplet Impact on Flat Surface in the Leidenfrost Regime

Simulations of Surfaces

Simulations on Bimetallic Alloy Surfaces

Simulations surface area

Simulations surface temperature elevation

Smooth surfaces molecular dynamic simulations

Solvent-accessible surface, simulations

Surface activity, with ReaxFF simulation

Surface dynamics, simulation

Surface force molecular dynamic simulation

Surface force molecular dynamic simulation, wetting

Surface phenomena, computer simulations

Surface structure simulation

Surface studies using Monte Carlo simulations

Surface tension simulation results

Surface-simulation synthesis

Water density, computer simulation surfaces

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