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Related papers: "Small is beautiful" in NMR

200 papers

We propose a review of the current knowledge about the synthesis, magnetic properties and applications of magnetic cylindrical nanowires and nanotubes. By "nano" we consider diameters reasonably smaller than a micrometer. At this scale,…

Mesoscale and Nanoscale Physics · Physics 2018-12-19 Michal Stano , Olivier Fruchart

Nuclear magnetic resonance (NMR) 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…

Quantum Physics · Physics 2021-07-19 C. Munuera-Javaloy , R. Puebla , J. Casanova

In view of the trend towards smaller samples and experiments under extreme conditions it is important to deliver small and homogeneous neutron beams to the sample area. For this purpose, elliptic and/or Montel mirrors are ideally suited as…

Instrumentation and Detectors · Physics 2015-12-09 Stefan Weichselbaumer , Georg Brandl , Robert Georgii , Jochen Stahn , Tobias Panzner , Peter Böni

Low-rank matrix approximation, which aims to construct a low-rank matrix from an observation, has received much attention recently. An efficient method to solve this problem is to convert the problem of rank minimization into a nuclear norm…

Information Theory · Computer Science 2016-09-21 Seyedroohollah Hosseini

Characterization of the molecular properties of surfaces under ambient or chemically reactive conditions is a fundamental scientific challenge. Moreover, many traditional analytical techniques used for probing surfaces often lack dynamic or…

In this paper we report on the observation of novel and highly unusual magnetic state of light. It appears that in small holes light quanta behave as small magnets so that light propagation through such holes may be affected by magnetic…

Strongly Correlated Electrons · Physics 2009-11-10 Igor I. Smolyaninov , Jill Elliott , Anatoly V. Zayats

Magnetic nanoparticles have proven to be valuable for biomedical applications. A prerequisite for the efficiency of these applications are precisely characterized particles. Thermal Noise Magnetrometry (TNM), unlike any other magnetic…

Mesoscale and Nanoscale Physics · Physics 2021-12-23 Katrijn Everaert , Maik Liebl , Dirk Gutkelch , Bartel Van Waeyenberge , Frank Wiekhorst , Jonathan Leliaert

The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012) turns non-negative matrix factorization (NMF) into a tractable problem. Recently, a new class of provably-correct NMF algorithms have emerged under this assumption. In…

Machine Learning · Statistics 2012-10-04 Abhishek Kumar , Vikas Sindhwani , Prabhanjan Kambadur

Low-dimensional quantum magnetism presents a seemingly unlimited source of rich, intriguing physics. Yet, as realistic experimental representations are hard to come by, the field remains predominantly theoretical. In recent years,…

Mesoscale and Nanoscale Physics · Physics 2015-04-21 A Spinelli , M P Rebergen , A F Otte

I discuss ab initio predictions for light and intermediate-mass nuclei as well as nuclear matter. Problems and open issues are outlined and an attempt is made to relate them to specific deficiencies of the chiral two- and many-nucleon…

Nuclear Theory · Physics 2019-01-08 R. Machleidt

The study of topological phases of light suggests novel opportunities for creating robust optical structures and on-chip photonic devices which are immune against scattering losses and structural disorder. However, many recent…

Optics · Physics 2021-10-26 Dmitry V. Zhirihin , Yuri S. Kivshar

The organizers of this meeting have asked me to present perspectives of nuclear physics. This means to identify the areas where nuclear physics will be expanding in the next future. In six chapters a short overview of these areas will be…

Nuclear Theory · Physics 2017-08-23 Amand Faessler

The purpose of this article is to review the achievements made in the last few years towards the understanding of the reasons behind the success and subtleties of neural network-based machine learning. In the tradition of good old applied…

Machine Learning · Computer Science 2020-12-09 Weinan E , Chao Ma , Stephan Wojtowytsch , Lei Wu

Neutrino experiments study the least understood of the Standard Model particles by observing their direct interactions with matter or searching for ultra-rare signals. The study of neutrinos typically requires overcoming large backgrounds,…

Computational Physics · Physics 2020-12-30 Fernanda Psihas , Micah Groh , Christopher Tunnell , Karl Warburton

The properties of nuclear matter are studied in the cut-off field theory. It is found that, under the Hartree approximation, the small cut-off makes the equations of state hard, especially at higher densities. The theory is modified in the…

Nuclear Theory · Physics 2007-05-23 H. Kouno , T. Mitsumori , Y. Iwasaki , K. Sakamoto , N. Noda , K. Koide , A. Hasegawa , M. Nakano

Characterizing ion adsorption and diffusion in porous carbons is essential to understand the performance of such materials in a range of key technologies such as energy storage and capacitive deionisation. Nuclear Magnetic Resonance (NMR)…

Materials Science · Physics 2023-05-08 Anagha Sasikumar , Céline Merlet

The study of strong electron correlations in transition metal oxides with modern microscopy and diffraction techniques unveiled a fascinating world of nanosize textures in the spin, charge, and crystal structure. Examples range from high…

Strongly Correlated Electrons · Physics 2007-05-23 G. Papavassiliou , M. Pissas , M. Belesi , M. Fardis , D. Stamopoulos , A. Kontos , M. Hennion , J. Dolinsek , J. P. Ansermet , C. Dimitropoulos

Neutrino masses are clear evidence for physics beyond the standard model and much more remains to be understood about the neutrino sector. We highlight some of the outstanding questions and research opportunities in neutrino theory. We show…

High Energy Physics - Phenomenology · Physics 2013-09-30 Andre de Gouvea , Alexander Friedland , Patrick Huber , Irina Mocioiu

The goals of functional Magnetic Resonance Imaging (fMRI) include high spatial and temporal resolutions with a high signal-to-noise ratio (SNR). To simultaneously improve spatial and temporal resolutions and maintain the high SNR advantage…

Image and Video Processing · Electrical Eng. & Systems 2024-07-10 Shouchang Guo

We report a novel neutron interferometry scheme aimed at probing the potential existence of mirror neutrons, which have been proposed as viable dark matter candidates. Our theoretical analysis demonstrates that if mirror neutrons exist,…

High Energy Physics - Phenomenology · Physics 2025-03-05 Antonio Capolupo , Gabriele Pisacane , Aniello Quaranta , Francesco Romeo