Paul Hodgkinson1 and Lyndon Emsley2,
1Department of Chemistry, University of Durham,
South Road, Durham DH1 3LE, United Kingdom
2Laboratoire de Stéréochimie et des Interactions
Moléculaires,
UMR-117 CNRS/ENS, Ecole Normale Supérieure de Lyon, 69364
Lyon, France
Progress in Nuclear Magnetic Resonance Spectroscopy, volume 36, page 201 (2000)
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Numerical simulation is essential to the development and application of new techniques in Nuclear Magnetic Resonance. This is particularly true for solid-state NMR. However, the number of interactions, coupled with their time dependence due to sample spinning and/or multiple-pulse sequences, means that developing simulations can be daunting. This article is a practical guide to developing simulation programs, with the emphasis on magic angle spinning (MAS) experiments. Most of the principles apply equally well to static solid-state experiments, including those involving multiple-pulse irradiation, and even to liquid-state NMR simulations. Although computationally demanding simulations, such as those used as part of a model fit, require the use of such compiled languages, we give code examples as fragments of Matlab programs (see below). These are easy to "read" and do not require reference to additional library routines.
There has been considerable progress in the methodology of numerical
simulations of MAS experiments in recent years, and a second goal of this
article is to present the variety of these propagation techniques within
a consistent framework, in order to be able to make practical comparisons
(see tables below). Time-domain analogues of existing
frequency-domain methods are presented which are generally both more efficient
and more easily generalised. It is clearly impossible for any one article
to address all possible NMR simulations, even within solid-state NMR. Our
attention is thus restricted to experiments where the only time dependencies
included explicitly are due to sample rotation and/or RF irradiation. The
ways that the simulations presented can be extended to include effects
such as chemical exchange and non-trivial relaxation are outlined briefly.
We show how the relatively complex NMR experiments can be built up from
the basic simulation element, with the emphasis is on retaining generality
i.e. making it straightforward to change the number of the spins in the
system, to use non-delta RF pulses rather than idealised pulses, etc.
| Method |
|
|
|---|---|---|
| Basic |
227.0
|
553.0
|
| With periodicity (Example 3) |
32.5
|
79.0
|
| Stored propagators (Example 4) |
3.5
|
11.7
|
| In basis (Example 5) |
1.6
|
4.6
|
| gamma-COMPUTE (Example 6) |
1.9
|
6.0
|
| Method |
|
|
|---|---|---|
| Basic |
22400
|
62500
|
| Time domain (Example 8) |
54
|
91
|
| Frequency domain (Example 9) |
78
|
148
|
We also discuss the orientational averaging that is required in the simulation of NMR in microcrystalline powder samples. The necessity for such "powder averaging" is a major handicap in the design of efficient simulations, and significant effort has been directed at the problem of reducing the time taken by this step. As well as discussing alternative schemes for powder averaging that have been proposed, the use of parallel computation is shown to be a practical solution to this problem.
Static experiments (Example 1) Homogeneous (non self-commuting) Hamiltonians under MAS (Examples 3-6) Inhomogeneous MAS Hamiltonians (Examples 7-9)
There were a couple of typographical errors in Table 2:
The time-ordering in Eq. (31) is incorrect, the final line should read
The denominator in the expressions for the dipole coupling constants in Table 1 should involve 8 pi2 rather than 2 pi... (Results in Hz).