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Related papers: Theory of single molecule NMR detection

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We demonstrate ionization of a molecule with the bias voltage of a Scanning Tunnelling Microscope (STM) resulting in a coexistence of a neutral and ionic molecules, i.e. radical (paramagnetic) and non-radical (diamagnetic) states. This…

Mesoscale and Nanoscale Physics · Physics 2024-04-02 Yishay Manassen , Michael Averbukh , Zion Hazan , Yahel Tzuriel , Pino Boscolo , Alexsander Shnirman , Baruch Horovitz

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) is a powerful tool for applications ranging from chemical analysis to quantum information processing. Achieving optical initialization and detection of molecular nuclear spins promises new opportunities -…

The ongoing miniaturization in nanoscience and -technology challenges the sensitivity and selectivity of experimental analysis methods to the ultimate level of single atoms and molecules. A promising new approach, addressed here, focuses on…

Mesoscale and Nanoscale Physics · Physics 2014-03-28 Stefan Müllegger , Stefano Tebi , Amal K. Das , Wolfgang Schöfberger , Felix Faschinger , Reinhold Koch

Nuclear magnetic resonance (NMR) has enormous applications. Two-dimensional NMR is an essential technique to characterize correlations between nuclei and, hence, molecule structures. Towards the ultimate goal of single-molecule NMR,…

Quantum Physics · Physics 2016-11-30 Wen-Long Ma , Ren-Bao Liu

Modern experimental techniques can generate magnetic fields of the form H(t) = H0 z-hat + H1 [x-hat cos({\omega}t) + y-hat sin({\omega}t)], at frequencies within an order of magnitude of the nuclear magnetic resonance (NMR) and electron…

Atomic Physics · Physics 2026-02-19 Zhichen Liu , Richard A. Klemm

Nuclear magnetic resonance (NMR) spectroscopy is widely used in fields ranging from chemistry, material science to neuroscience. Nanoscale NMR spectroscopy using Nitrogen-vacancy (NV) centers in diamond has emerged as a promising platform…

Nuclear magnetic resonance (NMR) spectroscopy is, in principle, a promising candidate to study the intracellular chemistry of single microscopic living entities. However, due to sensitivity limitations, NMR experiments were reported only on…

Biological Physics · Physics 2015-11-23 Marco Grisi , Beatrice Volpe , Roberto Guidetti , Nicola Harris , Giovanni Boero

Nanoscale nuclear magnetic resonance (NMR) signals can be measured through hyperfine interaction to paramagnetic electron sensor spins. A heterodyne approach is widely used to overcome the electron spin lifetime limit in spectral…

Nuclear magnetic resonance (NMR) is a powerful method for determining the structure of molecules and proteins. While conventional NMR requires averaging over large ensembles, recent progress with single-spin quantum sensors has created the…

Nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for analyzing the structure and function of molecules, and for performing three-dimensional imaging of the spin density. At the heart of NMR spectrometers is the…

Quantum Physics · Physics 2019-04-15 K. S. Cujia , J. M. Boss , K. Herb , J. Zopes , C. L. Degen

Nuclear magnetic resonance has emerged as a vital technique for investigating strongly correlated electron systems, and is particularly important for studying superconductivity. In this paper the basic features of NMR as a technique for…

Superconductivity · Physics 2009-01-26 N. J. Curro

Single-molecule nuclear magnetic resonance (NMR) is a crown-jewel challenge in the field of magnetic resonance spectroscopy and has important applications in chemical analysis and in quantum computing. Recently, it becomes possible to…

Mesoscale and Nanoscale Physics · Physics 2015-06-17 Fazhan Shi , Xi Kong , Pengfei Wang , Fei Kong , Nan Zhao , Ren-Bao Liu , Jiangfeng Du

The nitrogen-vacancy (NV) center has enabled widespread study of nanoscale nuclear magnetic resonance (NMR) spectroscopy at low magnetic fields. NMR spectroscopy at high magnetic fields significantly improves the technique's spectral…

Mesoscale and Nanoscale Physics · Physics 2021-09-15 Benjamin Fortman , Laura Mugica-Sanchez , Noah Tischler , Cooper Selco , Yuxiao Hang , Karoly Holczer , Susumu Takahashi

Two dimensional nuclear magnetic resonance (NMR) spectroscopy is one of the major tools for analysing the chemical structure of organic molecules and proteins. Despite its power, this technique requires long measurement times, which,…

It is proposed that nuclear (or electron) spins in a trapped molecule would be well isolated from the environment and the state of each spin can be measured by means of mechanical detection of magnetic resonance. Therefore molecular traps…

Quantum Physics · Physics 2007-05-23 Haiqing Wei , Xin Xue

Nuclear Magnetic Resonance (NMR) spectroscopy is a central characterization method for molecular structure elucidation, yet interpreting NMR spectra to deduce molecular structures remains challenging due to the complexity of spectral data…

Chemical Physics · Physics 2025-07-15 Qingsong Yang , Binglan Wu , Xuwei Liu , Bo Chen , Wei Li , Gen Long , Xin Chen , Mingjun Xiao

Quantum sensors have recently achieved to detect the magnetic moment of few or single nuclear spins and measure their magnetic resonance (NMR) signal. However, the spectral resolution, a key feature of NMR, has been limited by relaxation of…

Understanding and controlling decoherence in open quantum systems is of fundamental interest in science, while achieving long coherence times is critical for quantum information processing. Although great progress was made for individual,…

Mesoscale and Nanoscale Physics · Physics 2023-03-23 Lisanne Sellies , Raffael Spachtholz , Philipp Scheuerer , Jascha Repp

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept of application of deep learning and neural network for…

Medical Physics · Physics 2019-05-15 Xiaobo Qu , Yihui Huang , Hengfa Lu , Tianyu Qiu , Di Guo , Tatiana Agback , Vladislav Orekhov , Zhong Chen
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