Large-scale ab initio simulations of MAS DNP enhancements using a Monte Carlo optimization strategy

dc.contributor.author Perras, Frederic
dc.contributor.author Pruski, Marek
dc.contributor.department Ames National Laboratory
dc.contributor.department Department of Chemistry
dc.contributor.department Ames Laboratory
dc.date 2019-09-20T11:22:57.000
dc.date.accessioned 2020-06-29T23:22:59Z
dc.date.available 2020-06-29T23:22:59Z
dc.date.embargo 2019-10-19
dc.date.issued 2018-10-19
dc.description.abstract <p>Magic-angle-spinning (MAS) dynamic nuclear polarization (DNP) has recently emerged as a powerful technology enabling otherwise unrealistic solid-state NMR experiments. The simulation of DNP processes which might, for example, aid in refining the experimental conditions or the design of better performing polarizing agents, is, however, plagued with significant challenges, often limiting the system size to only 3 spins. Here, we present the first approach to fully <em>ab initio</em> large-scale simulations of MAS DNP enhancements. The Landau-Zener equation is used to treat all interactions concerning electron spins, and the low-order correlations in the Liouville space method is used to accurately treat the spin diffusion, as well as its MAS speed dependence. As the propagator cannot be stored, a Monte Carlo optimization method is used to determine the steady-state enhancement factors. This new software is employed to investigate the MAS speed dependence of the enhancement factors in large spin systems where spin diffusion is of importance, as well as to investigate the impacts of solvent and polarizing agent deuteration on the performance of MAS DNP.</p>
dc.identifier archive/lib.dr.iastate.edu/ameslab_manuscripts/412/
dc.identifier.articleid 1418
dc.identifier.contextkey 14989390
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ameslab_manuscripts/412
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/7357
dc.language.iso en
dc.relation.ispartofseries IS-J 9741
dc.source.bitstream archive/lib.dr.iastate.edu/ameslab_manuscripts/412/IS_J_9741.pdf|||Sat Jan 15 00:10:34 UTC 2022
dc.source.uri 10.1063/1.5042651
dc.subject.disciplines Biological and Chemical Physics
dc.title Large-scale ab initio simulations of MAS DNP enhancements using a Monte Carlo optimization strategy
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication 25913818-6714-4be5-89a6-f70c8facdf7e
relation.isOrgUnitOfPublication 42864f6e-7a3d-4be3-8b5a-0ae3c3830a11
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