Results 41 to 50 of about 268,686 (320)

Solid-state nuclear magnetic resonance studies of nanoparticles

Solid State Nuclear Magnetic Resonance, 2020
In this trends article, we review seminal and recent studies using static and magic-angle spinning solid-state NMR to study the structure of nanoparticles and ligands attached to nanoparticles. Solid-state NMR techniques including one-dimensional multinuclear NMR, cross-polarization, techniques for measuring dipolar coupling and internuclear distances,
openaire   +3 more sources

Scalable Spin Amplification with a Gain over a Hundred [PDF]

, 2011
We propose a scalable and practical implementation of spin amplification which does not require individual addressing nor a specially tailored spin network.
Akinori Kagawa, D. Stehlik, K. Takeda, Kenichiro Tateishi, M. A. Nielsen, Makoto Negoro, Masahiro Kitagawa, N. F. Ramsey   +7 more
core   +1 more source

Solid-state NMR in the field of drug delivery: State of the art and new perspectives

Magnetic Resonance Letters, 2021
In the last decades, a variety of nuclear magnetic resonance (NMR) techniques have been applied with success in the field of advanced functional materials, including the important area of drug delivery.
Alessandro Marchetti, Jinglin Yin, Yongchao Su, Xueqian Kong   +3 more
doaj   +1 more source

Zero field optical magnetic resonance study of phosphorus donors in 28-silicon

, 2018
Donor spins in silicon are some of the most promising qubits for upcoming solid-state quantum technologies. The nuclear spins of phosphorus donors in enriched silicon have among the longest coherence times of any solid-state system as well as ...
Abrosimov, Nikolay V., Becker, Peter, Dluhy, Phillip, Huber, Julian, Morse, Kevin J., Pohl, Hans-Joachim, Riemann, Helge, Saeedi, Kamyar, Salvail, Jeff Z., Simmons, S., Thewalt, M. L. W.   +10 more
core   +2 more sources

Quantum Computation Based on Magic-Angle-Spinning Solid State Nuclear Magnetic Resonance Spectroscopy [PDF]

, 2001
Magic-angle spinning (MAS) solid state nuclear magnetic resonance (NMR) spectroscopy is shown to be a promising technique for implementing quantum computing.
Ding, S, Gao, K, Liu, M, Mao, X A, McDowell, C A, Sun, X, Ye, C, Zhan, M S, Zhu, X   +8 more
core   +2 more sources

A Wide-Line Solid-State 1H NMR Study of Phase Structures of Semi-Crystalline Polymers

Chinese Journal of Magnetic Resonance, 2019
Wide-line solid-state proton nuclear magnetic resonance (1H NMR) spectrometry is a classical technique to study the phase structures of semi-crystalline polymers.
WU Jin-ze, XIN Jia-xiang, FU Xiao-bin, YAO Ye-feng   +3 more
doaj   +1 more source

Hybrid covalent organic-framework-based electrolytes for optimizing interface resistance in solid-state lithium-ion batteries

Cell Reports Physical Science, 2022
Summary: High ion conductivity and low electrode-electrolyte interface resistance are intensively pursued topics for the development of solid-state Li-ion batteries with high safety and energy density.
Dongming Cheng, Cui Sun, Zhongling Lang, Jinhua Zhang, Ajuan Hu, Jianing Duan, Xinyu Chen, Hong-Ying Zang, Jiajia Chen, Mingsen Zheng, Quanfeng Dong   +10 more
doaj   +1 more source

Demonstration of sufficient control for two rounds of quantum error correction in a solid state ensemble quantum information processor

, 2011
We report the implementation of a 3-qubit quantum error correction code (QECC) on a quantum information processor realized by the magnetic resonance of Carbon nuclei in a single crystal of Malonic Acid.
Baugh, Jonathan, Laflamme, Raymond, Moussa, Osama, Ryan, Colm A.   +3 more
core   +1 more source

Structure and ion transport properties of organic ionic compounds revealed by NMR

Magnetic Resonance Letters
Organic ionic plastic crystals (OIPCs) are emerging as an important material family for solid-state electrolytes and many other applications. They have significant advantages over conventional electrolyte materials, such as high ionic conductivity, non ...
Haijin Zhu
doaj   +1 more source

Chemical shifts in molecular solids by machine learning

Nature Communications, 2018
Solid-state nuclear magnetic resonance combined with quantum chemical shift predictions is limited by high computational cost. Here, the authors use machine learning based on local atomic environments to predict experimental chemical shifts in molecular ...
Federico M. Paruzzo, Albert Hofstetter, Félix Musil, Sandip De, Michele Ceriotti, Lyndon Emsley   +5 more
doaj   +1 more source