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Direct dynamic nuclear polarization of 1H nuclei in frozen water and water-ethanol mixtures is demonstrated using silicon nanoparticles as the polarizing agent. Electron spins at dangling-bond sites near the silicon surface are identified…

Mesoscale and Nanoscale Physics · Physics 2014-01-14 M. C. Cassidy , C. Ramanathan , D. G. Cory , J. W. Ager , C. M. Marcus

The magnetic susceptibility of an ensemble of clean metallic nanoparticles is shown to change from paramagnetic to diamagnetic one with the onset of spin-orbit interaction. The effect is quantified on the basis of symmetry analysis with the…

Mesoscale and Nanoscale Physics · Physics 2019-08-28 B. Murzaliev , M. Titov , M. I. Katsnelson

A model of dynamic orientation using optimized radiofrequency (RF) irradiation produced perpendicular to the holding field is developed for the spin-1 system required for tensor-polarized fixed-target experiments. The derivation applies to…

Nuclear Theory · Physics 2017-07-25 Dustin Keller

In the last years there has been a great interest in magnetic systems formed by a cluster of transition metal ions covalently bonded via superexchange bridges, embedded in a large organic molecule. Following the synthesis and the structural…

Materials Science · Physics 2007-05-23 F. Borsa , A. Lascialfari , Y. Furukawa

Although 19F has high potential to serve as a background-free molecular marker in bioimaging, the molar amount of marker substance is often too small to enable 19F MR imaging or 19F NMR spectroscopy with a sufficiently high signal-to-noise…

Chemical Physics · Physics 2022-05-24 Johannes Bernarding , Christian Bruns , Isabell Prediger , Markus Plaumann

The diversity of various manganese types and its complexes in the Mn-doped ${\rm A^{III}B^V}$ semiconductor structures leads to a number of intriguing phenomena. Here we show that the interplay between the ordinary substitutional Mn…

Mesoscale and Nanoscale Physics · Physics 2020-07-09 I. A. Kokurin , A. Yu. Silov , N. S. Averkiev

Repeated injection of spin polarized carriers in a quantum dot leads to the polarization of nuclear spins, a process known as dynamic nuclear spin polarization (DNP). Here, we report the first observation of p-shell carrier assisted DNP in…

Mesoscale and Nanoscale Physics · Physics 2016-03-23 C. F. Fong , Y. Ota , E. Harbord , S. Iwamoto , Y. Arakawa

In modern transformation optics, one explores metamaterials with properties that vary from point to point in space and time, suitable for applications in devices such as an "optical invisibility cloak" and an "optical black hole". We…

The sensitivity of NMR and MRI can be boosted via hyperpolarization of nuclear spins. However, current methods are costly, polarization is relatively low, or applicability is limited. Here, we report a new hyperpolarization method combining…

Nuclear spins nearby nitrogen-vacancy (NV) centers in diamond are excellent quantum memory for quantum computing and quantum sensing, but are difficult to be initialized due to their weak interactions with the environment. Here we propose…

Quantum Physics · Physics 2019-09-04 Nanyang Xu , Yu Tian , Bing Chen , Jianpei Geng , Xiaoxiong He , Ya Wang , Jiangfeng Du

Diamond-based quantum sensors have enabled high-resolution NMR spectroscopy at the microscale in scenarios where fast molecular motion averages out dipolar interactions among target nuclei. However, in samples with low-diffusion, ubiquitous…

Quantum Physics · Physics 2025-08-26 Carlos Munuera-Javaloy , Ander Tobalina , Jorge Casanova

We studied spatial distribution of dynamic nuclear polarization (DNP) in a Hall-bar device in a breakdown regime of the quantum Hall effect (QHE). We detected nuclear magnetic resonance (NMR) signals from the polarized nuclear spins by…

Mesoscale and Nanoscale Physics · Physics 2011-01-25 Minoru Kawamura , Kimitoshi Kono , Yoshiaki Hashimoto , Shingo Katsumoto , Tomoki Machida

The magnetic behavior of insulating doped diluted magnetic semiconductors (DMS) is characterized by the interaction of large collective spins known as bound magnetic polarons. Experimental measurements of the susceptibility of these…

Materials Science · Physics 2009-11-07 Adam C. Durst , R. N. Bhatt , P. A. Wolff

Nanodiamonds containing nitrogen vacancy (NV-) centers show promise for a number of emerging applications including targeted in vivo imaging and generating nuclear spin hyperpolarization for enhanced NMR spectroscopy and imaging. Here, we…

Quantum sensors have attracted broad interest in the quest towards sub-micronscale NMR spectroscopy. Such sensors predominantly operate at low magnetic fields. Instead, however, for high resolution spectroscopy, the high-field regime is…

The manganese induced magnetic, electrical and structural modification in InMnP epilayers, prepared by Mn ion implantation and pulsed laser annealing, are investigated in the following work. All samples exhibit clear hysteresis loops and…

Materials Science · Physics 2015-01-27 M. Khalid , Kun Gao , E. Weschke , R. Huebner , C. Baehtz , O. Gordan , G. Salvan , D. R. T. Zahn , W. Skorupa , M. Helm , Shengqiang Zhou

We analyze possible ways to calculate magnetic exchange interactions within the density functional theory plus dynamical mean-field theory (DFT+DMFT) approach in the paramagnetic phase. Using the susceptibilities obtained within the ladder…

Strongly Correlated Electrons · Physics 2023-06-09 A. A. Katanin , A. S. Belozerov , A. I. Lichtenstein , M. I. Katsnelson

Recent theoretical work has established the presence of hidden spin and orbital textures in non-magnetic materials with inversion symmetry. Here, we propose that these textures can be detected by nuclear magnetic resonance (NMR)…

Materials Science · Physics 2017-12-11 Jorge Ramírez-Ruiz , Samuel Boutin , Ion Garate

The properties of spin polarized pure neutron matter and symmetric nuclear matter are studied using the finite range simple effective interaction, upon its parametrization revisited. Out of the total twelve parameters involved, we now…

Nuclear Theory · Physics 2015-02-04 B. Behera , X. Viñas , T. R. Routray , M. Centelles

Deep Material Network (DMN) has recently emerged as a data-driven surrogate model for heterogeneous materials. Given a particular microstructural morphology, the effective linear and nonlinear behaviors can be successfully approximated by…

Computational Engineering, Finance, and Science · Computer Science 2023-12-15 Tianyi Li