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Polynomially scaling spin dynamics simulation algorithm based on adaptive state-space restriction.

Abstract:

We report progress with an old problem in magnetic resonance -- that of the exponential scaling of simulation complexity with the number of spins. It is demonstrated below that a polynomially scaling algorithm can be obtained (and accurate simulations performed for over 200 coupled spins) if the dimension of the Liouville state space is reduced by excluding unimportant and unpopulated spin states. We found the class of such states to be surprisingly wide. It actually appears that a majority o...

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Publication status:
Published

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Publisher copy:
10.1016/j.jmr.2007.09.014

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Physical & Theoretical Chem
Role:
Author
Journal:
Journal of magnetic resonance (San Diego, Calif. : 1997)
Volume:
189
Issue:
2
Pages:
241-250
Publication date:
2007-12-01
DOI:
EISSN:
1096-0856
ISSN:
1090-7807
Source identifiers:
34006
Language:
English
Keywords:
Pubs id:
pubs:34006
UUID:
uuid:42eb4b4d-4757-4bbf-acd5-0b3cc512de7c
Local pid:
pubs:34006
Deposit date:
2012-12-19

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