Dynamic nuclear polarization pulse sequence engineering using single-spin vector effective Hamiltonians

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL Physical Chemistry Chemical Physics Pub Date : 2024-10-22 DOI:10.1039/D4CP03041A
A. B. Nielsen, J. P. A. Carvalho, D. L. Goodwin, N. Wili and N. C. Nielsen
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Abstract

Dynamic nuclear polarization (DNP) has proven to be a powerful technique to enhance nuclear spin polarization by transferring the much higher electron spin polarization to nuclear spins prior to detection. While major attention has been devoted to high-field applications with continuous microwave irradiation, the introduction of fast arbitrary waveform generators is gradually increasing opportunities for the realization of pulsed DNP. Here, we describe how static-powder DNP pulse sequences may systematically be designed using single-spin vector effective Hamiltonian theory. Particular attention is devoted to the intricate interplay between two important parts of the effective first-order Hamiltonian, namely, linear field (single-spin) terms and Fourier coefficients determining scaling of the bilinear coupling terms mediating polarization transfer. We address two cases. The first case operates in the regime, where the microwave field amplitude is lower than the nuclear Larmor frequency. Here, we illustrate the predictive strength of a single-spin vector model by comparing analytical calculations with experimental DNP results at 9.8 GHz/15 MHz on trityl radicals at 80 K. The second case operates in the high-power regime, where we combine the underlying single-spin vector design principles with numerical non-linear optimization to optimize the balance between the linear terms and the bilinear Fourier coefficients in a figure of merit function. We demonstrate, numerically and experimentally, a broadband DNP pulse sequence PLATO (PoLarizAtion Transfer via non-linear Optimization) with a bandwidth of 80 MHz and optimized for a microwave field with a maximum (peak) amplitude of 32 MHz.

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使用单旋矢量有效哈密顿的动态核极化脉冲序列工程
事实证明,动态核极化(DNP)是一种强大的技术,它能在检测前将更高的电子自旋极化转移到核自旋上,从而增强核自旋极化。虽然人们主要关注连续微波辐照的高场应用,但快速任意波形发生器的引入逐渐增加了实现脉冲 DNP 的机会。在此,我们将介绍如何利用单旋矢量有效哈密顿理论系统地设计静态粉末 DNP 脉冲序列。我们特别关注有效一阶哈密顿的两个重要部分之间错综复杂的相互作用,即线性场(单旋)项和决定介导偏振传递的双线性耦合项缩放的傅立叶系数。我们讨论了两种情况。第一种情况是微波场振幅低于核拉莫尔频率。在这里,我们通过比较分析计算结果和 80 K 时三苯自由基在 9.8 GHz/15 MHz 下的 DNP 实验结果,来说明单旋矢量模型的预测能力。第二种情况是在高功率系统中运行,我们将基本的单旋矢量设计原理与数值非线性优化相结合,以优化优点函数中线性项和双线性傅里叶系数之间的平衡。我们通过数值和实验演示了带宽为 80 MHz 的宽带 DNP 脉冲序列 PLATO(PoLarizAtion Transfer via Non-linear Optimization),并针对最大(峰值)振幅为 32 MHz 的微波场进行了优化。
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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