Konrad Hinsen

Publications (87) View all

• Source

  Available from: Vania Calandrini

  Article: Scaling laws and memory effects in the dynamics of liquids and proteins

  G. R. Kneller, K. Hinsen, G. Sutmann, V. Calandrini
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  ABSTRACT: Recent progress in the numerical calculation of memory functions from molecular dynamics simulations allowed the gaining of deeper insight into the relaxation dynamics of liquids and proteins. The concept of memory functions goes back to the work of R. Zwanzig on the generalized Langevin equation, and it was the basis for the development of various dynamical models for liquids. In this article we present briefly a method for the numerical calculation of memory functions, which is then applied to study their scaling behavior in normal and fractional Brownian dynamics. It has been shown recently that the model of fractional Brownian dynamics constitutes effectively a link between protein dynamics on the nanosecond time scale, which is accessible to molecular dynamics simulations and thermal neutron scattering, and the much longer time scale of functional protein dynamics, which can be studied by fluorescence correlation spectroscopy.
  Physics of Particles and Nuclei Letters 04/2012; 5(3):189-195.
• Article: Parallel Scripting with Python

  K. Hinsen
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  ABSTRACT: The combination of the Python language and the bulk synchronous parallel computing model make developing and testing parallel programs a much more pleasurable experience.
  Computing in Science and Engineering 12/2007; 9(6):82-89. · 1.42 Impact Factor
• Article: Influence of constraints on the dynamics of polypeptide chains.

  K Hinsen, GR Kneller
  Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 01/1996; 52(6):6868-6874.
• Article: Generalized Euler equations for linked rigid bodies.

  GR Kneller, K Hinsen
  Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 09/1994; 50(2):1559-1564.
• Source

  Available from: Konrad Hinsen

  Article: The Promises of Functional Programming

  K. Hinsen
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  ABSTRACT: Adopting a functional programming style could make your programs more robust, more compact, and more easily parallelizable. However, mastering it requires some effort. This article's purpose is to explain what functional programming is and how it differs from traditional imperative programming. The author also explains how functional programming helps with concurrent and parallel programming. The language I use in the examples is Clojure, a modern dialect of Lisp.
  Computing in Science and Engineering 09/2009; · 1.42 Impact Factor