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Non-Newtonian transport properties of a dilute gas of inelastic hard spheres immersed in a molecular gas are determined. We assume that the granular gas is sufficiently rarefied and hence, the state of the molecular gas is not disturbed by…

软凝聚态物质 · 物理学 2024-06-05 Rubén Gómez González , Moisés García Chamorro , Vicente Garzó

The power spectrum of displacement fluctuation of beads in the air-fluidized granular system is measured by a novel NMR technique of modulated gradient spin-echo. The results of measurement together with the related spectrum of the velocity…

流体动力学 · 物理学 2010-10-07 Janez Stepisnik , Samo Lasic , Igor Sersa , Ales Mohoric , Gorazd Planinsic

Nuclear magnetic resonance (NMR) spectroscopy provides unparalleled access to molecular structure and dynamics but is traditionally limited by weak signal strength, requiring large sample volumes and high magnetic fields. Here, we…

应用物理 · 物理学 2026-04-29 Dileep Singh , Riley W. Hooper , Christoph Findler , Utsab Banerjee , Dominik B. Bucher

Pebble-bed nuclear reactor technology, which is currently being revived around the world, raises fundamental questions about dense granular flow in silos. A typical reactor core is composed of graphite fuel pebbles, which drain very slowly…

软凝聚态物质 · 物理学 2009-11-11 Chris H. Rycroft , Gary S. Grest , James W. Landry , Martin Z. Bazant

This text contains a collection of equations useful for understanding Nuclear Magnetic Resonance (NMR) experiments in superfluid $^3$He-B. This is a part of my notebook where I try to describe some parts of this sophisticated system.

其他凝聚态物理 · 物理学 2023-03-17 V. V. Zavjalov

Magnetic Resonance Imaging (MRI) has become one of the most important tools to screen humans in medicine, virtually every modern hospital is equipped with an NMR tomograph. The potential of NMR in 3D imaging tasks is by far greater, but…

软凝聚态物质 · 物理学 2018-09-14 Ralf Stannarius

Granular flows through pipes show interesting phenomena, e.g. clogging and density waves, 1/f-noise. These things are fairly good studied by computer-experiments, but there is a lack in theoretical and analytical consideration. We introduce…

统计力学 · 物理学 2008-12-03 T. L. Riethmueller , D. Rosenkranz , L. Schimansky-Geier

The terminology granular matter refers to systems with a large number of hard objects (grains) of mesoscopic size ranging from millimeters to meters. Geological examples include desert sand and the rocks of a landslide. But the scope of…

统计力学 · 物理学 2007-09-05 James W. Dufty

In porous material research, one main interest of nuclear magnetic resonance (NMR) diffusion experiments is the determination of the exact shape of pores. It has been a longstanding ques-tion if this is achievable in principle. In this…

医学物理 · 物理学 2012-05-09 Tristan Anselm Kuder , Frederik Bernd Laun

Colliding flows are a commonly used scenario for the formation of molecular clouds in numerical simulations. Due to the thermal instability of the warm neutral medium, turbulence is produced by cooling. We carry out a two-dimensional…

天体物理仪器与方法 · 物理学 2015-05-13 Markus Niklaus , Wolfram Schmidt , Jens C. Niemeyer

Nuclear magnetic resonance (NMR) diffusion measurements are widely used to derive parameters indirectly related to the microstructure of biological tissues and porous media. However, a direct imaging of cell or pore shapes and sizes would…

医学物理 · 物理学 2012-12-10 Tristan Anselm Kuder , Peter Bachert , Johannes Windschuh , Frederik Bernd Laun

We report detection of nuclear magnetic resonance (NMR) using an anisotropic magnetoresistive (AMR) sensor. A ``remote-detection'' arrangement was used, in which protons in flowing water were pre-polarized in the field of a superconducting…

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…

量子物理 · 物理学 2025-08-26 Carlos Munuera-Javaloy , Ander Tobalina , Jorge Casanova

An important challenge in robotics is understanding the interactions between robots and deformable terrains that consist of granular material. Granular flows and their interactions with rigid bodies still pose several open questions. A…

机器学习 · 计算机科学 2021-11-22 Amin Haeri , Krzysztof Skonieczny

Water is the most important solvent in nature. It is a crucial issue to study interactions among water molecules. Nuclear magnetic resonance (NMR) spectroscopy is one of the most powerful tools to detect magnetic interactions for the…

量子物理 · 物理学 2018-05-30 Xi Kong , Fazhan Shi , Zhiping Yang , Pengfei Wang , Nicole Raatz , Jan Meijer , Jiangfeng Du

In this contribution, we compute the $^1$H nuclear magnetic resonance (NMR) relaxation rate of liquid water at ambient conditions. We are using structural and dynamical information from Coupled Cluster Molecular Dynamics (CCMD) trajectories…

Heterogeneous diffusion processes occur in many different fields such as transport in living cells or diffusion in porous media. A characterization of the transport parameters of such processes can be achieved by ensemble-based methods,…

数据分析、统计与概率 · 物理学 2011-10-17 Michael Bauer , Rustem Valiullin , Günter Radons , Jörg Kärger

Hyperpolarized nuclear magnetic resonance and lab-on-a-chip microfluidics are two dynamic, but until recently quite distinct, fields of research. Recent developments in both areas increased their synergistic overlap. By microfluidic…

化学物理 · 物理学 2021-09-29 James Eills , William Hale , Marcel Utz

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,…

量子物理 · 物理学 2025-02-20 Santiago Oviedo Casado , Daniel Cohen , Javier Cerrillo

Granular flows and vibro-fluidised granular gases have been extensively studied recently; most of the theoretical analyses and the experimental descriptions use temperature and other thermodynamics concepts. However, taking the very simple…

软凝聚态物质 · 物理学 2007-05-23 P. Evesque