Using optimal control methods with constraints to generate singlet states in NMR Научная публикация
| Журнал |
Journal of Magnetic Resonance
ISSN: 1090-7807 |
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| Вых. Данные | Год: 2018, Том: 291, Страницы: 14-22 Страниц : 9 DOI: 10.1016/j.jmr.2018.03.005 | ||||||
| Ключевые слова | Spin relaxation, Long-lived states, Singlet-state NMR, Adiabatic passage, Optimal control theory | ||||||
| Авторы |
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| Организации |
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Реферат:
A method is proposed for optimizing the performance of the APSOC (Adiabatic-Passage Spin Order Conversion) technique (J. Magn. Reson., 273 (2016) 56-64), which can be exploited in NMR experiments with singlet spin states. In this technique magnetization-to-singlet conversion (and singlet-to-magnetization conversion) is performed by using adiabatically ramped RF-fields. Optimization utilizes the GRAPE (Gradient Ascent Pulse Engineering) approach, in which for a fixed search area we assume monotonicity to the envelope of the RF-field. Such an approach allows one to achieve much better performance for APSOC; consequently, the efficiency of magnetization-to-singlet conversion is greatly improved as compared to simple model RF-ramps, e.g., linear ramps. We also demonstrate that the optimization method is reasonably robust to possible inaccuracies in determining NMR parameters of the spin system under study and also in setting the RF-field parameters. The present approach can be exploited in other NMR and EPR applications using adiabatic switching of spin Hamiltonians.
Библиографическая ссылка:
Rodin B.A.
, Kiryutin A.S.
, Yurkovskaya A.V.
, Ivanov K.L.
, Yamamoto S.
, Sato K.
, Takui T.
Using optimal control methods with constraints to generate singlet states in NMR
Journal of Magnetic Resonance. 2018. V.291. P.14-22. DOI: 10.1016/j.jmr.2018.03.005
Using optimal control methods with constraints to generate singlet states in NMR
Journal of Magnetic Resonance. 2018. V.291. P.14-22. DOI: 10.1016/j.jmr.2018.03.005
Даты:
| Поступила в редакцию: | 20 нояб. 2017 г. |
| Принята к публикации: | 9 мар. 2018 г. |
| Опубликована online: | 27 мар. 2018 г. |
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