Simulation of pulsed dynamic nuclear polarization in the steady state
Simulation of pulsed dynamic nuclear polarization in the steady state
In pulsed dynamic nuclear polarization (DNP), enhancement of bulk nuclear polarization requires the repeated application of a microwave pulse sequence. So far, analysis of a one-time transfer of electron spin polarization to a dipolar-coupled nuclear spin has guided the design of DNP pulse sequences. This has obvious shortcomings, such as the inability to predict the optimal repetition time. In an actual pulsed DNP experiment, a balance is reached between the polarization arriving from the unpaired electrons and nuclear relaxation. In this article, we explore three algorithms to compute this stroboscopic steady state: (1) explicit time evolution by propagator squaring, (2) generation of an effective propagator using the matrix logarithm, and (3) direct calculation of the steady state with the Newton-Raphson method. Algorithm (2) is numerically unstable in dissipative DNP settings. Algorithms (1) and (3) are both stable; algorithm (3) is the most efficient. We compare the steady-state simulations to existing experimental results at 0.34 and 1.2 T and to the first experimental observation of X-inverse-X (XiX) DNP at 3.4 T. The agreement is good and improves further when electron-proton distance and electron Rabi frequency distributions are accounted for. We demonstrate that the trajectory of the spin system during one-time application of a microwave pulse sequence differs from the steady orbit. This has implications for DNP pulse sequence design.
Jegadeesan, Shebha Anandhi
6df6e2d0-901f-4980-9c1c-8cfec2001aa8
Zhao, Yujie
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Smith, Graham M.
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Kuprov, Ilya
bb07f28a-5038-4524-8146-e3fc8344c065
Mathies, Guinevere
29dc648d-3219-40e7-a276-f33720082213
21 July 2025
Jegadeesan, Shebha Anandhi
6df6e2d0-901f-4980-9c1c-8cfec2001aa8
Zhao, Yujie
8c039338-9405-46d6-a3c5-ddbbc9057fd1
Smith, Graham M.
60ac8fb2-5711-4ac1-ab02-274f074300f7
Kuprov, Ilya
bb07f28a-5038-4524-8146-e3fc8344c065
Mathies, Guinevere
29dc648d-3219-40e7-a276-f33720082213
Jegadeesan, Shebha Anandhi, Zhao, Yujie, Smith, Graham M., Kuprov, Ilya and Mathies, Guinevere
(2025)
Simulation of pulsed dynamic nuclear polarization in the steady state.
Journal of Chemical Physics, 163 (3), [034111].
(doi:10.1063/5.0283196).
Abstract
In pulsed dynamic nuclear polarization (DNP), enhancement of bulk nuclear polarization requires the repeated application of a microwave pulse sequence. So far, analysis of a one-time transfer of electron spin polarization to a dipolar-coupled nuclear spin has guided the design of DNP pulse sequences. This has obvious shortcomings, such as the inability to predict the optimal repetition time. In an actual pulsed DNP experiment, a balance is reached between the polarization arriving from the unpaired electrons and nuclear relaxation. In this article, we explore three algorithms to compute this stroboscopic steady state: (1) explicit time evolution by propagator squaring, (2) generation of an effective propagator using the matrix logarithm, and (3) direct calculation of the steady state with the Newton-Raphson method. Algorithm (2) is numerically unstable in dissipative DNP settings. Algorithms (1) and (3) are both stable; algorithm (3) is the most efficient. We compare the steady-state simulations to existing experimental results at 0.34 and 1.2 T and to the first experimental observation of X-inverse-X (XiX) DNP at 3.4 T. The agreement is good and improves further when electron-proton distance and electron Rabi frequency distributions are accounted for. We demonstrate that the trajectory of the spin system during one-time application of a microwave pulse sequence differs from the steady orbit. This has implications for DNP pulse sequence design.
Text
034111_1_5.0283196
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Accepted/In Press date: 28 June 2025
e-pub ahead of print date: 16 July 2025
Published date: 21 July 2025
Identifiers
Local EPrints ID: 505029
URI: http://eprints.soton.ac.uk/id/eprint/505029
ISSN: 0021-9606
PURE UUID: d30acf00-0e04-495b-aa2a-d4f0a4abd83d
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Date deposited: 24 Sep 2025 16:43
Last modified: 25 Sep 2025 01:46
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Author:
Shebha Anandhi Jegadeesan
Author:
Yujie Zhao
Author:
Graham M. Smith
Author:
Guinevere Mathies
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