By Marcus Müller, Friederike Schmid (auth.), Christian Holm, Kurt Kremer (eds.)
ISBN-10: 3540260919
ISBN-13: 9783540260912
This sequence provides serious experiences of the current and destiny traits in polymer and biopolymer technology together with chemistry, actual chemistry, physics and fabrics technology. it really is addressed to all scientists at universities and in who desire to maintain abreast of advances within the subject matters coated.
Impact issue rating: continually number 1 in Polymer technology. additional info in addition to the digital model of the complete content material to be had at: www.springerlink.com
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Extra info for Advanced Computer Simulation Approaches for Soft Matter Sciences II
Example text
In the following we shall utilize Eqs. 25 and 26 to calculate the thermal average of the composition and its fluctuations in the EP theory. As we have argued above, these expressions will converge to the exact result if the fluctuations in U become Gaussian. 2 Self-Consistent Field (SCF) Theory: Saddle Point Integration in U and W In the self-consistent field (SCF) theory one additionally approximates the functional integral over the field W by its saddle point value. Using the functionals 1 1 φα∗ [WA , WB ] = φα∗ (iU ∗ [W] + W), (iU ∗ [W] – W) 2 2 Fluctuations and Dynamics in Self-Consistent Field Theories 17 (cf.
Also, in addition to the zero-ranged repulsion between unlike species, other interactions can be included into the theory. In order to capture some fluid-like correlations and describe the details of packing in the vicinity of surfaces weighted density functionals have been used successfully [21]. Electrostatic interactions have been included into the theory. This is important for tuning the orientation of self-assembled structures in block copolymers [48], and also to describe biological systems [48].
Propagate W according to Eq. 123 using a simplified Runge–Kutta method. 3. Adjust U to make sure the incompressibility constraint φA∗ + φB∗ = 1 is fulfilled again using the Newton–Broyden method. 4. Go back to (1). The EPD method has two main advantages compared to DSCFT: First of all it incorporates non-local coupling corresponding to the Rouse dynamics via a local Onsager coefficient. Secondly it proves to be computationally faster by up to one order of magnitude. There are two main reasons for this huge increase in speed: In EPD the number of equations that have to be solved via the Newton–Broyden method to fulfill incompressibility is just the number of Fourier functions used.
Advanced Computer Simulation Approaches for Soft Matter Sciences II by Marcus Müller, Friederike Schmid (auth.), Christian Holm, Kurt Kremer (eds.)
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