7,088 research outputs found
2-Amino-1H-benzoimidazol-3-ium 4,4,4-trifluoro-1,3-dioxo-1-phenylbutan-2-ide
In the title compound, C7H8N3
+·C10H6F3O2
−, 1H-benzoimidazol-2-amine system adopts a planar conformation with an r.m.s. deviation of 0.0174 Å. The cation and anion in the asymmetric unit are linked by N—H⋯O hydrogen bonds. There are also additional intermolecular N—H⋯O hydrogen bonds and π–π stacking interactions between the phenyl rings of neighbouring anions with centroid–centroid distances of 4.0976 (13) Å
Search for quantum dimer phases and transitions in a frustrated spin ladder
A two-leg spin-1/2 ladder with diagonal interactions is investigated
numerically. We focus our attention on the possibility of columnar dimer phase,
which was recently predicted based on a reformulated bosonization theory. By
using density matrix renormalization group technique and exact diagonalization
method, we calculate columnar dimer order parameter, spin correlation on a
rung, string order parameters, and scaled excitation gaps. Carefully using
various finite-size scaling techniques, our results show no support for the
existence of columnar dimer phase in the spin ladder under consideration.Comment: 5 pages, 4 figures. To be published in Phys. Rev.
4-Phenyl-1,2,3,4-tetrahydropyrimido[1,2-a]benzimidazol-2-one
In the title compound, C16H13N3O, the tetrahydropyrimidinone ring adopts a sofa conformation. In the crystal structure, molecules are linked by N—H⋯N hydrogen bonds and C—H⋯π interactions
Ethyl 6-(4-fluorophenyl)-4-hydroxy-2-oxo-4-trifluoromethyl-1,3-diazinane-5-carboxylate monohydrate
The asymmetric unit of the title compound, C14H14F4N2O4·H2O, contains two crystallographically independent organic molecules and two water molecules. The two 1,3-diazinane rings adopt a half-chair conformation and the dihedral angles between their mean planes and those of the benzene rings are 75.65 (4)° and 49.41 (3)° in the two molecules. The crystal structure is stabilized by intermolecular O—H⋯O and N—H⋯O hydrogen bonds
Effects of experimental parameters on elemental analysis of coal by laser-induced breakdown spectroscopy
The purpose of this work is to improve the precision of the elemental analysis of coal using laser-induced breakdown spectroscopy (LIBS). The LIBS technique has the ability to allow simultaneous
elemental analysis and on-line determination, so it could be used in the elemental analysis of coal. Organic components such as C, H, O, N and inorganic components such as Ca, Mg, Fe, Al, Si, Ti, Na, and K of coal have been identified. The precision of the LIBS technique depends strongly on the experimental conditions, and the choice of experimental parameters should be aimed at optimizing the repeatability of the measurements. The dependences of the relative standard deviation (RSD) of the LIBS measurements on the experimental parameters including the sample preparation parameters, lens-to-sample distance, sample operation mode, and ambient gas have been investigated. The results indicate that the precision of LIBS measurements for the coal sample can be improved by using the optimum experimental parameters
Resource Cube:Multi-Virtual Resource Management for Integrated Satellite-Terrestrial Industrial IoT Networks
Industrial Internet of Things (IIoT) has found wider research, and satellite-terrestrial network (STN) can provide large-scale seamless connections for IIoT. With virtualization, we design resource cube to describe the integration and state of multi-dimensional virtual resources. To achieve higher resource utilization and smarter connections, we design a matching considered preferences (MCPR) algorithm to match IIoT nodes with service sides. The matching design considers the resource cube (MCRC) algorithm based on MCPR algorithm to lower the total system delay. In addition, in order to simplify the analysis of resource management, we adopt a layered architecture and multiple M/M/1 queuing models. We analyze the resource utilization and the total system delay for three different combinations of arrival rate and service rate of each resource cube. With MCRC algorithm, the utilization of resources is slightly reduced, while the total system delay is greatly reduced compared with MCPR algorithm. © 1967-2012 IEEE
Experimental study on the principle of minimal work fluctuations
The central quantity in the celebrated quantum Jarzynski equality is
, where is work and is the inverse temperature. The
impact of quantum randomness on the fluctuations of and hence on
the predictive power of the Jarzynski estimator is an important problem.
Working on a single nitrogen-vacancy center in diamond and riding on an
implementation of two-point measurement of non-equilibrium work with
single-shot readout, we have conducted a direct experimental investigation of
the relationship between the fluctuations of and adiabaticity of
non-equilibrium work protocols. It is observed that adiabatic processes
minimize the variance of , thus verifying an early theoretical
concept, the so-called principle of minimal work fluctuations. Furthermore, it
is experimentally demonstrated that shortcuts-to-adiabaticity control can be
exploited to minimize the variance of in fast work protocols.
Our work should stimulate further experimental studies of quantum effects on
the bias and error in the estimates of free energy differences based on the
Jarzynski equality
Four-Step Evolution of Spin-Hall Conductance: Tight-Binding Electrons with Rashba Coupling in a Magnetic Field
An intriguing magneto-transport property is demonstrated by tight-binding
lattice electrons with Rashba spin-orbit coupling (SOC) in a magnetic field.
With the flux strength ( is an integer) and the Zeeman
splitting fixed, when increasing the Rashba SOC , the spin-Hall and
charge-Hall conductances (SHC and CHC) undergo four-step evolutions: the SHC
shows size-dependent resonances and jumps at three critical 's,
and changes its sign at and ; while the CHC
exhibits three quantum jumps by , and . Such
four-step evolutions are also reflected in topological characters and spin
polarizations of edge states of a cylindrical system, and are robust against
weak disorder.Comment: 4 pages, 5 figure
Striped morphologies induced by magnetic impurities in d-wave superconductors
We study striped morphologies induced by magnetic impurities in d-wave
superconductors (DSCs) near optimal doping by self-consistently solving the
Bogoliubov-de Gennes equations based on the model. For the
single impurity case, it is found that the stable ground state is a modulated
checkerboard pattern. For the two-impurity case, the stripe-like structures in
order parameters are induced due to the impurity-pinning effect. The
modulations of DSC and charge orders share the same period of four lattice
constants (4), which is half the period of modulations in the coexisting
spin order. Interestingly, when three or more impurities are inserted, the
impurities could induce more complex striped morphologies due to quantum
interference. Further experiments of magnetic impurity substitution in DSCs are
expected to check these results.Comment: 8 pages, 4 figure
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Spatiotemporal analysis of water quality using multivariate statistical techniques and the water quality identification index for the Qinhuai River basin, East China
Monitoring water quality is indispensable for the identification of threats to water environment and later management of water resources. Accurate monitoring and assessment of water quality have been long-term challenges. In this study, multivariate statistical techniques (MST) and water quality identification index (WQII) were applied to analyze spatiotemporal variation in water quality and determine the major pollution sources in the Qinhuai River, East China. A rotated principal component analysis (PCA) identified three potential pollution sources during the wet season (mixed pollution, physicochemical, and nonpoint sources of nutrients) and the dry season (nutrient, primary environmental, and organic sources) and they explained 81.14% of the total variances in the wet season and 78.42% of total variances in the dry season. The result of redundancy analysis (RDA) showed that population density, urbanization, and wastewater discharge are the main sources of organic pollution, while agricultural fertilizer consumption and industrial wastewater discharge are the main sources of nutrients such as nitrogen and phosphorus. The water quality of the Qinhuai River basin was determined to be mainly Class III (slightly polluted) and Class IV (moderately polluted) based on WQII. Temporally, the change trend of WQII showed that water quality gradually deteriorated between 1990 and 2005, improved between 2006 and 2010, and then deteriorated again. Spatially, the WQII distribution map showed that areas with more developed urbanization were relatively more polluted. Our results show that MST and WQII are useful tools to help the public and decision makers to evaluate the water quality of aquatic environment
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