Literature DB >> 12810011

BlochLib: a fast NMR C++ tool kit.

Wyndham B Blanton1.   

Abstract

Computational power, speed, and algorithmic complexity are increasing at a continuing rate. As a result, scientific simulations continue to investigate more and more complex systems. Nuclear magnetic resonance (NMR) is no exception. NMR theory and language is extremely well developed, that simulations have become a standard by which experiments are measured. Nowadays, complex computations can be performed on normal workstations and workstation clusters. Basic numerical operations have also become extremely optimized and new computer language paradigms have become implemented. Currently there exists no complete NMR tool kit which uses these newer techniques. This paper describes such a tool kit, BlochLib. BlochLib is designed to be the next generation of NMR simulation packages; however, the basic techniques implemented are applicable to almost any problem. BlochLib enables the user to simulate almost any NMR idea both experimental or theoretical in nature. Both classical and quantum mechanical techniques are included and demonstrated, as well as several powerful user interface tools. The total tool kit and documentation can be found at http://waugh.cchem.berkeley.edu/blochlib/.

Entities:  

Year:  2003        PMID: 12810011     DOI: 10.1016/s1090-7807(03)00035-1

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  5 in total

1.  Solid-state NMR spectroscopy of protein complexes.

Authors:  Shangjin Sun; Yun Han; Sivakumar Paramasivam; Si Yan; Amanda E Siglin; John C Williams; In-Ja L Byeon; Jinwoo Ahn; Angela M Gronenborn; Tatyana Polenova
Journal:  Methods Mol Biol       Date:  2012

2.  GAVA: spectral simulation for in vivo MRS applications.

Authors:  Brian J Soher; Karl Young; Aaron Bernstein; Zakaria Aygula; Andrew A Maudsley
Journal:  J Magn Reson       Date:  2007-01-12       Impact factor: 2.229

3.  Nmrglue: an open source Python package for the analysis of multidimensional NMR data.

Authors:  Jonathan J Helmus; Christopher P Jaroniec
Journal:  J Biomol NMR       Date:  2013-03-02       Impact factor: 2.835

4.  Numerical simulations of localized high field 1H MR spectroscopy.

Authors:  Lana G Kaiser; Karl Young; Gerald B Matson
Journal:  J Magn Reson       Date:  2008-08-28       Impact factor: 2.229

5.  SpinDynamica: Symbolic and numerical magnetic resonance in a Mathematica environment.

Authors:  Christian Bengs; Malcolm H Levitt
Journal:  Magn Reson Chem       Date:  2017-09-20       Impact factor: 2.447

  5 in total

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