ArticleMagnetic resonance (Gottingen, Germany)2020
Representation of population exchange at level anti-crossings.
Article in Magnetic resonance (Gottingen, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Error Compensation without a Time Penalty: Robust Spin-Lock-Induced Crossing in Solution NMR.The journal of physical chemistry letters · 2026Article
- Spin Hyperpolarization in Modern Magnetic Resonance.Chemical reviews · 2023Review
- Relayed hyperpolarization for zero-field nuclear magnetic resonance.Science advances · 2022Article
- SABRE enhancement with oscillating pulse sequences.Physical chemistry chemical physics : PCCP · 2022Article
- Hyperpolarization read-out through rapidly rotating fields in the zero- and low-field regime.Physical chemistry chemical physics : PCCP · 2022Article
- Improving SABRE hyperpolarization with highly nonintuitive pulse sequences: Moving beyond avoided crossings to describe dynamics.Science advances · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A theoretical framework is proposed to describe the spin dynamics driven by coherent spin mixing at level anti-crossings (LACs). We briefly introduce the LAC concept and propose to describe the spin dynamics using a vector of populations of the diabatic eigenstates. In this description, each LAC gives rise to a pairwise redistribution of eigenstate populations, allowing one to construct the total evolution operator of the spin system. Additionally, we take into account that in the course of spin evolution a "rotation" of the eigenstate basis case take place. The approach is illustrated by a number of examples, dealing with magnetic field inversion, cross-polarization, singlet-state nuclear magnetic resonance and parahydrogen-induced polarization.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.