Enhanced Sampling Methods for Molecular Dynamics - Elber, Ron
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Enhanced Sampling Methods for Molecular Dynamics: Algorithms, Implementations, and Applications provides a single introductory resource for understanding enhanced sampling techniques for molecular dynamics studies of equilibrium and kinetics, discussing the theory, algorithm, and implementation of techniques for equilibrium studies, such as Umbrella Sampling, Replica Exchange, Generalized Ensembles, and Metadynamics. A similar discussion of methodologies for enhanced sampling for kinetics then follows. Ron Elber considers exact and approximate approaches of enhanced sampling, their speed, rate…mehr

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Produktbeschreibung
Enhanced Sampling Methods for Molecular Dynamics: Algorithms, Implementations, and Applications provides a single introductory resource for understanding enhanced sampling techniques for molecular dynamics studies of equilibrium and kinetics, discussing the theory, algorithm, and implementation of techniques for equilibrium studies, such as Umbrella Sampling, Replica Exchange, Generalized Ensembles, and Metadynamics. A similar discussion of methodologies for enhanced sampling for kinetics then follows. Ron Elber considers exact and approximate approaches of enhanced sampling, their speed, rate of convergence, and accuracy. He examines the necessary inputs of these approaches, such as prior knowledge of the reaction coordinate (or several coarse variables). The chapters consider path integral formulation, Weighted Ensemble, Transition Path Sampling, and Milestoning. Finally, simple, detailed examples illustrate the enhancements and prepare the reader for their use in more complex systems. Enhanced Sampling Methods for Molecular Dynamics: Algorithms, Implementations, and Applications is written primarily for computational chemists and biochemists (graduate students and postdoctoral fellows) as well as computational and theoretical scientists who study molecular processes. Experimentalists in the biophysics and biochemistry fields, as well as practitioners in the drug and material design areas who use standard software tools to conduct MD simulations of their experimental systems will also find the book of interest.
Autorenporträt
Ron Elber studied chemistry and physics at the Hebrew University of Jerusalem and received his BSc degree in 1981. He continued his studies toward a Ph.D. at the Hebrew University in theoretical chemistry, which he obtained in 1984. He was on the faculty of the University of Illinois at Chicago, the Hebrew University, Cornell University, and the University of Texas at Austin. At present, He is retired from the University of Texas at Austin but is still a core faculty at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin and a Founder of the company MiTOMED Pharma. For almost give decades he has worked in the field of computational statistical mechanics and Molecular Dynamics simulations of biological systems. He introduced several new methodologies that include techniques to compute reaction pathways in complex systems and the method of Milestoning to extend the time scales of straightforward Molecular Dynamics simulation. He has more than 220 publications and an H index of 63.