Normal Mode Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Normal Mode Analysis write by Qiang Cui. This book was released on 2005-12-12. Normal Mode Analysis available in PDF, EPUB and Kindle. Rapid developments in experimental techniques continue to push back the limits in the resolution, size, and complexity of the chemical and biological systems that can be investigated. This challenges the theoretical community to develop innovative methods for better interpreting experimental results. Normal Mode Analysis (NMA) is one such technique
Normal Modes and Localization in Nonlinear Systems
Normal Modes and Localization in Nonlinear Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Normal Modes and Localization in Nonlinear Systems write by Alexander F. Vakakis. This book was released on 2013-06-29. Normal Modes and Localization in Nonlinear Systems available in PDF, EPUB and Kindle. The nonlinear normal modes of a parametrically excited cantilever beam are constructed by directly applying the method of multiple scales to the governing integral-partial differential equation and associated boundary conditions. The effect of the inertia and curvature nonlin earities and the parametric excitation on the spatial distribution of the deflection is examined. The results are compared with those obtained by using a single-mode discretization. In the absence of linear viscous and quadratic damping, it is shown that there are nonlinear normal modes, as defined by Rosenberg, even in the presence of a principal parametric excitation. Furthermore, the nonlinear mode shape obtained with the direct approach is compared with that obtained with the discretization approach for some values of the excitation frequency. In the single-mode discretization, the spatial distribution of the deflection is assumed a priori to be given by the linear mode shape ¢n, which is parametrically excited, as Equation (41). Thus, the mode shape is not influenced by the nonlinear curvature and nonlinear damping. On the other hand, in the direct approach, the mode shape is not assumed a priori; the nonlinear effects modify the linear mode shape ¢n. Therefore, in the case of large-amplitude oscillations, the single-mode discretization may yield inaccurate mode shapes. References 1. Vakakis, A. F., Manevitch, L. I., Mikhlin, Y. v., Pilipchuk, V. N., and Zevin A. A., Nonnal Modes and Localization in Nonlinear Systems, Wiley, New York, 1996.
Molecular Modeling of Proteins
Molecular Modeling of Proteins - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Molecular Modeling of Proteins write by Andreas Kukol. This book was released on 2017-04-30. Molecular Modeling of Proteins available in PDF, EPUB and Kindle. Molecular Modeling of Proteins, Second Edition provides a theoretical background of various methods available and enables non-specialists to apply methods to their problems by including updated chapters and new material not covered in the first edition. This detailed volume opens by featuring classical and advanced simulation methods as well as methods to set-up complex systems such as lipid membranes and membrane proteins and continues with chapters devoted to the simulation and analysis of conformational changes of proteins, computational methods for protein structure prediction, usage of experimental data in combination with computational techniques, as well as protein-ligand interactions, which are relevant in the drug design process. Written for the highly successful Methods in Molecular Biology series, chapters include thorough introductions, step-by-step instructions and notes on troubleshooting and avoiding common pitfalls. Update-to-date and authoritative, Molecular Modeling of Proteins, Second Edition aims to aid researchers in the physical, chemical and biosciences interested in utilizing this powerful technology.
A Practical Introduction to the Simulation of Molecular Systems
A Practical Introduction to the Simulation of Molecular Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practical Introduction to the Simulation of Molecular Systems write by Martin J. Field. This book was released on 2007-07-19. A Practical Introduction to the Simulation of Molecular Systems available in PDF, EPUB and Kindle. Molecular simulation is a powerful tool in materials science, physics, chemistry and biomolecular fields. This updated edition provides a pragmatic introduction to a wide range of techniques for the simulation of molecular systems at the atomic level. The first part concentrates on methods for calculating the potential energy of a molecular system, with new chapters on quantum chemical, molecular mechanical and hybrid potential techniques. The second part describes methods examining conformational, dynamical and thermodynamical properties of systems, covering techniques including geometry-optimization, normal-mode analysis, molecular dynamics, and Monte Carlo simulation. Using Python, the second edition includes numerous examples and program modules for each simulation technique, allowing the reader to perform the calculations and appreciate the inherent difficulties involved in each. This is a valuable resource for researchers and graduate students wanting to know how to use atomic-scale molecular simulations. Supplementary material, including the program library and technical information, available through www.cambridge.org/9780521852524.
Protein Simulations
Protein Simulations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Protein Simulations write by Valerie Daggett. This book was released on 2003-11-26. Protein Simulations available in PDF, EPUB and Kindle. Protein Simulation focuses on predicting how protein will act in vivo. These studies use computer analysis, computer modeling, and statistical probability to predict protein function. * Force Fields* Ligand Binding* Protein Membrane Simulation* Enzyme Dynamics* Protein Folding and unfolding simulations
