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Related papers: Confined nano-NMR spectroscopy using NV centers

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Atomic-scale magnetic field sensors based on nitrogen vacancy (NV) defects in diamonds are an exciting platform for nanoscale nuclear magnetic resonance (NMR) spectroscopy. The detection of NMR signals from a few zeptoliters to single…

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,…

Quantum Physics · Physics 2025-02-20 Santiago Oviedo Casado , Daniel Cohen , Javier Cerrillo

Nitrogen-vacancy (NV) centers in diamond have emerged as quantum sensors capable of detecting nuclear magnetic resonance (NMR) signals at unprecedented length scales, ranging from picoliter sample volumes down to single spins at the diamond…

Chemical Physics · Physics 2025-01-07 Nick R. von Grafenstein , Karl D. Briegel , Jorge Casanova , Dominik B. Bucher

Quantum technologies have seen a rapid developmental surge over the last couple of years. Though often overshadowed by quantum computation, quantum sensors show tremendous potential for widespread applications in chemistry and biology. One…

Quantum Physics · Physics 2022-05-30 Robin D. Allert , Karl D. Briegel , Dominik B. Bucher

Nitrogen vacancy (NV) centers in diamond have been used as ultrasensitive magnetometers to perform nuclear magnetic resonance (NMR) spectroscopy of statistically polarized samples at 1 - 100 nm length scales. However, the spectral linewidth…

Ensembles of nitrogen-vacancy (NV) centers are used as sensors to detect NMR signals from micron-sized samples at room temperature. In this scenario, the regime of large magnetic fields is especially interesting as it leads to a large…

Quantum Physics · Physics 2023-04-04 C. Munuera-Javaloy , A. Tobalina , J. Casanova

The integration of NMR and high pressure technique brings unique opportunities to study electronic, structural and dynamical properties under extreme conditions. Despite a great degree of success has been achieved using coil-based schemes,…

Quantum Physics · Physics 2022-03-22 Yan-Xing Shang , Fang Hong , Jian-Hong Dai , Ya-Nan Lu , Hui Yu , Yong-Hong Yu , Xiao-Hui Yu , Xin-Yu Pan , Gang-Qin Liu

Diffusion broadening of spectral lines is the main limitation to frequency resolution in non-polarized liquid state nano-NMR. This problem arises from the limited amount of information that can be extracted from the signal before losing…

Quantum Physics · Physics 2020-11-25 Santiago Oviedo-Casado , Amit Rotem , Ramil Nigmatullin , Javier Prior , Alex Retzker

The NV-NMR spectrometer is a promising candidate for detection of NMR signals at the nano scale. Field inhomogeneities, however, are a major source of noise that limits spectral resolution in state of the art NV - NMR experiments and…

Quantum Physics · Physics 2020-09-16 Yotam Vaknin , Benedikt Tratzmiller , Tuvia Gefen , Ilai Schwartz , Martin Plenio , Alex Retzker

A dense layer of nitrogen-vacancy (NV) centers near the surface of a diamond can be interrogated in a widefield optical microscope to produce spatially resolved maps of local quantities such as magnetic field, electric field and lattice…

Understanding diffusion in microstructures plays a crucial role in many scientific fields, including neuroscience, cancer or energy research. While magnetic resonance (MR) methods are the gold standard for diffusion measurements, spatial…

After initial proof-of-principle demonstrations, optically pumped nitrogen-vacancy (NV) centres in diamond have been proposed as a non-invasive platform to achieve hyperpolarisation of nuclear spins in molecular samples over macroscopic…

Mesoscale and Nanoscale Physics · Physics 2021-01-27 J. -P. Tetienne , L. T. Hall , A. J. Healey , G. A. L. White , M. -A. Sani , F. Separovic , L. C. L. Hollenberg

Optically-probed nitrogen-vacancy (NV) quantum defects in diamond can detect nuclear magnetic resonance (NMR) signals with high-spectral resolution from micron-scale sample volumes of about 10 picoliters. However, a key challenge for NV-NMR…

Nanomagnetometry using the nitrogen-vacancy (NV) centre in diamond has attracted a great deal of interest because of the combined features of room temperature operation, nanoscale resolution and high sensitivity. One of the important goals…

Nuclear magnetic resonance (NMR) spectroscopy has approached the limit of single molecule sensitivity, however the spectral resolution is currently insufficient to obtain detailed information on chemical structure and molecular…

Quantum Physics · Physics 2015-08-19 Xi Kong , Alexander Stark , Jiangfeng Du , Liam P. McGuinness , Fedor Jelezko

Nanoscale confinement of molecules in a fluid can result in enhanced viscosity, local fluidic order, or collective motion. Confinement also affects ion transport and/or the rate and equilibrium concentration in a chemical reaction, all of…

Nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) are well-established techniques that provide valuable information in a diverse set of disciplines but are currently limited to macroscopic sample volumes. Here we…

Nitrogen vacancy (NV) centre quantum sensors provide unique opportunities in studying condensed matter systems: they are quantitative, noninvasive, physically robust, offer nanoscale resolution, and may be used across a wide range of…

Nuclear magnetic resonance (NMR) spectroscopy is a widely used tool for chemical analysis and molecular structure identification. Because it typically relies on the weak magnetic fields produced by a small thermal nuclear spin polarization,…

Applied Physics · Physics 2020-06-11 Dominik B. Bucher , David R. Glenn , Hongkun Park , Mikhail D. Lukin , Ronald L. Walsworth

Scanning nitrogen-vacancy (NV) center electrometry has shown potential for quantitative quantum imaging of electric fields at the nanoscale. However, achieving nanoscale spatial resolution remains a challenge since employing gradiometry to…

Quantum Physics · Physics 2025-09-16 Zhi Cheng , Zhiwei Yu , Mengqi Wang , Lingfeng Yang , Zihao Cui , Ya Wang , Pengfei Wang
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