Models of liquid samples confinement for nanoscale NMR

• URL: http://arxiv.org/abs/2502.13578v1
• Date: Wed, 19 Feb 2025 09:34:51 GMT
• Title: Models of liquid samples confinement for nanoscale NMR
• Authors: Santiago Oviedo Casado, Daniel Cohen, Javier Cerrillo,
• Abstract summary: We study two noise models for confined nano-NMR, namely, surface interactions and porosity, and discuss their implications for typical nano-NMR experiments.
• Score: 4.981092876461036
• License:
• Abstract: Diffusion is a prominent source of noise affecting nuclear magnetic resonance at the nanometer scale (nano-NMR), preventing high resolution studies of unpolarized liquid samples. Actively managing diffusion noise through, for example, sample confinement, is likely to unveil alternative noise sources which so far have been disregarded, as they occur in longer time-scales and are, consequently, masked by diffusion. These secondary noise sources could diminish the advantages provided by sample confinement but, on the other hand, they can provide with valuable information about the behavior of the sample and its interactions. In this article, we study for the first time and in detail two noise models for confined nano-NMR, namely, surface interactions and porosity, and discuss their implications for typical nano-NMR experiments.

Related papers

• Large-Enhancement Nanoscale Dynamic Nuclear Polarization Near a Silicon Nanowire Surface [0.0]
  We show a 100-fold enhancement in the Boltzmann polarization of proton spins in nanoscale sugar droplets at 6 K and 0.33 T. These results significantly advance the capabilities of force-detected magnetic resonance detection as a practical tool for nanoscale imaging.
  arXiv  Detail & Related papers  (2024-02-26T03:59:30Z)
• The role of noise in denoising models for anomaly detection in medical images [62.0532151156057]
  Pathological brain lesions exhibit diverse appearance in brain images. Unsupervised anomaly detection approaches have been proposed using only normal data for training. We show that optimization of the spatial resolution and magnitude of the noise improves the performance of different model training regimes.
  arXiv  Detail & Related papers  (2023-01-19T21:39:38Z)
• Probing flux and charge noise with macroscopic resonant tunneling [45.36850110238202]
  We measure rates of incoherent tunneling from the lowest energy state in the initial well to the ground. We develop a theoretical model that allows us to extract information about flux and charge noise within one experimental setup.
  arXiv  Detail & Related papers  (2022-10-04T16:15:34Z)
• Toward deep-learning-assisted spectrally-resolved imaging of magnetic noise [52.77024349608834]
  We implement a deep neural network to efficiently reconstruct the spectral density of the underlying fluctuating magnetic field. These results create opportunities for the application of machine-learning methods to color-center-based nanoscale sensing and imaging.
  arXiv  Detail & Related papers  (2022-08-01T19:18:26Z)
• Nanometer-Scale Nuclear Magnetic Resonance Diffraction with Sub-\AA ngstrom Precision [0.0]
  We present a new approach to nanoMRI utilizing nuclear magnetic resonance diffraction (NMRd) The realization of NMRd on the atomic scale would create a powerful new methodology for materials characterization utilizing the spectroscopic capabilities of NMR.
  arXiv  Detail & Related papers  (2022-04-01T05:53:52Z)
• Power-law scaling of correlations in statistically polarised nano-NMR [3.3452799833629943]
  Diffusion noise is a major source of spectral line broadening in liquid state nano-scale nuclear magnetic resonance with shallow nitrogen-vacancy centres. We show that correlations survive for a longer time due to a power-law scaling, yielding the possibility for improved resolution.
  arXiv  Detail & Related papers  (2022-03-21T17:37:33Z)
• Dispersive readout of molecular spin qudits [68.8204255655161]
  We study the physics of a magnetic molecule described by a "giant" spin with multiple $d > 2$ spin states. We derive an expression for the output modes in the dispersive regime of operation. We find that the measurement of the cavity transmission allows to uniquely determine the spin state of the qudits.
  arXiv  Detail & Related papers  (2021-09-29T18:00:09Z)
• Frequency fluctuations of ferromagnetic resonances at milliKelvin temperatures [50.591267188664666]
  Noise is detrimental to device performance, especially for quantum coherent circuits. Recent efforts have demonstrated routes to utilizing magnon systems for quantum technologies, which are based on single magnons to superconducting qubits. Researching the temporal behavior can help to identify the underlying noise sources.
  arXiv  Detail & Related papers  (2021-07-14T08:00:37Z)
• Dynamical decoupling methods in nanoscale NMR [0.0]
  Nuclear magnetic resonance schemes can be applied to micron-, and nanometer-sized samples by the aid of quantum sensors such as nitrogen-vacancy (NV) color centers in diamond. These minute devices allow for magnetometry of nuclear spin ensembles with high spatial and frequency resolution at ambient conditions.
  arXiv  Detail & Related papers  (2021-04-21T16:18:48Z)
• Real-time estimation of the optically detected magnetic resonance shift in diamond quantum thermometry [47.50219326456544]
  We investigate the real-time estimation protocols for the frequency shift of optically detected magnetic resonance (ODMR) of nitrogen-vacancy centers in nanodiamonds (NDs) Efficiently integrating multipoint ODMR measurements and ND particle tracking into fluorescence microscopy has recently demonstrated stable monitoring of the temperature inside living animals.
  arXiv  Detail & Related papers  (2020-06-12T01:44:35Z)
• Correlated noise in Brownian motion allows for super resolution [0.0]
  Diffusion broadening of spectral lines is the main limitation to frequency resolution in non-polarized liquid state nano-NMR. In this work we show that in the NV based nano-NMR setup such diffusion noise results in high spectral resolution.
  arXiv  Detail & Related papers  (2020-05-17T19:16:10Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.