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Forming bonds, simulation

Simulation models describe the various conditions occurring during a press cycle (gradients of the temperature, the moisture content, the steam pressure and the formed bond strengths) which lead both to microbuckling of the wood cell walls by their moisture and temperature-induced densification (Fig. 6) [215-218]. [Pg.1090]

FIG. 11 Plot of squared bond length vs T for five cooling rates, glass-forming bond fluctuation Monte Carlo simulations [47]. [Pg.502]

Alternatively, Leung and Eichinger [51] proposed a computer simulation approach which does not assume any lattice as the classical and percolation theory. Their simulations are more realistic than lattice percolation, since spatially closer groups form bonds first and more distant groups at later stages of network formation. However, the implicitly introduced diffusion control is somewhat obscure. The effects of intramolecular reactions were more realistically quantified, and the results agree quite well with experimental observations [52,53],... [Pg.189]

Around 1970 computer simulations of the branching processes on a lattice started to become a common technique. In bond percolation the following assessment is made [7] whenever two units come to lie on adjacent lattice sites a bond between the two units is formed. The simulation was made by throwing at random n units on a lattice with ISP lattice sites. Clusters of various size and shape were obtained from which, among others, the weight fraction distribution could be derived. The results could be cast in a form of [7]... [Pg.156]

Figure 8.2 Phase separation in binary mixtures of model spherical particles at a planar interface generated by Brownian dynamics simulation. The three 2-D images refer to systems in which (A) light particles form irreversible bonds, (B) light particles form reversible bonds, and (C) neither dark nor light particles form bonds, but they repel each other. Picture D shows a 3-D representation. Reproduced from Pugnaloni et al. (2003b) with permission. Figure 8.2 Phase separation in binary mixtures of model spherical particles at a planar interface generated by Brownian dynamics simulation. The three 2-D images refer to systems in which (A) light particles form irreversible bonds, (B) light particles form reversible bonds, and (C) neither dark nor light particles form bonds, but they repel each other. Picture D shows a 3-D representation. Reproduced from Pugnaloni et al. (2003b) with permission.
Pentadiene can be used to model ferf-butylbutadiene in Reaction (5.1). The carbonyl group affects the dienophile much more than the methyl, which can then be neglected. The ester function can also be replaced by an aldehyde (verify that ethyl 2-methacrylate can be simulated by either methyl 2-methacrylate, 2-methylacrolein, methyl acrylate or acrolein). In each case, the first-formed bond will link the atom having the highest HOMO coefficient in the diene to the atom having the highest LUMO coefficient in the dienophile. [Pg.111]

In order to assess the effect of compression (expansion) on more complex mixed layers (protein + protein or protein + surfactant), we have simulated four different binary systems. The mixtures are composed of two species of the same spherical size in a 1 1 molar ratio. In all cases, one of the species (Type 1) interacts solely through the repulsive core potential both with particles of its same type and with particles of Type 2. The Type 2 particles, however, are able to form bonds with particles of their ovm type. The four different cases correspond to different classes of bonding between the particles of Type 2 (a) no bonds, (b) very-easy-to-break bonds (fcmax = 0-3)i (c) breakable bonds (fcmax = 0-5), and (d) permanent bonds (fcmax = °°)-The structures of fhe four differenf sysfems after 6 X 10 equilibration time steps are shown in Figure 23.3. Case (a) represents a perfect mixture since... [Pg.407]

As temperature is decreased from above (say, from 20 °C) towards 0 °C, the number of hydrogen bonds per water molecule increases as the 2- and 3-coordinated water molecules get replaced predominantly by more stable 4-coordinated water molecules. In the process some 5-coordinated water molecules also form. Computer simulation studies show that at 10°C, about 70% of the molecules are 4-coordinated while 3- and 5-coordinated are nearly equally populated at about 14% each. As mentioned above, conversion of 2- and 3-coordinated water molecules to 4-coordinated ones is the main reason for the increase in density on lowering the temperature of water. However, as we approach 4°C, energetic reasons now favor 4-coordinated water molecules over 5- or 6-coordinated water molecules. These higher coordinated... [Pg.6]

On transition metals it has been suggested that a weU-chosen cluster of 20-30 atoms enables one to simulate the interaction of an isolated molecule with a transition-metal surface provided that there are no atoms in the surface which form bonds to the adsorbate that are left coordinatively unsaturated. [Pg.15]

Fig. 5 Evolution of C—H (left-broken bond) and H - O (right-formed bond) distances during the ReaxFF MD simulation of the conversion of iminium E s-cis endo into the corresponding enamine at a temperature of 100 K (NVT ensemble) in vacuum... Fig. 5 Evolution of C—H (left-broken bond) and H - O (right-formed bond) distances during the ReaxFF MD simulation of the conversion of iminium E s-cis endo into the corresponding enamine at a temperature of 100 K (NVT ensemble) in vacuum...
The second application of the CFTI approach described here involves calculations of the free energy differences between conformers of the linear form of the opioid pentapeptide DPDPE in aqueous solution [9, 10]. DPDPE (Tyr-D-Pen-Gly-Phe-D-Pen, where D-Pen is the D isomer of /3,/3-dimethylcysteine) and other opioids are an interesting class of biologically active peptides which exhibit a strong correlation between conformation and affinity and selectivity for different receptors. The cyclic form of DPDPE contains a disulfide bond constraint, and is a highly specific S opioid [llj. Our simulations provide information on the cost of pre-organizing the linear peptide from its stable solution structure to a cyclic-like precursor for disulfide bond formation. Such... [Pg.164]

Many problems in force field investigations arise from the calculation of Coulomb interactions with fixed charges, thereby neglecting possible mutual polarization. With that obvious drawback in mind, Ulrich Sternberg developed the COSMOS (Computer Simulation of Molecular Structures) force field [30], which extends a classical molecular mechanics force field by serai-empirical charge calculation based on bond polarization theory [31, 32]. This approach has the advantage that the atomic charges depend on the three-dimensional structure of the molecule. Parts of the functional form of COSMOS were taken from the PIMM force field of Lindner et al., which combines self-consistent field theory for r-orbitals ( nr-SCF) with molecular mechanics [33, 34]. [Pg.351]

By using an effective, distance-dependent dielectric constant, the ability of bulk water to reduce electrostatic interactions can be mimicked without the presence of explicit solvent molecules. One disadvantage of aU vacuum simulations, corrected for shielding effects or not, is the fact that they cannot account for the ability of water molecules to form hydrogen bonds with charged and polar surface residues of a protein. As a result, adjacent polar side chains interact with each other and not with the solvent, thus introducing additional errors. [Pg.364]


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See also in sourсe #XX -- [ Pg.90 ]




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Bond-forming

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