8,706 research outputs found
Spinon Fermi surface in a cluster Mott insulator model on a triangular lattice and possible application to 1T-TaS
1T-TaS is a cluster Mott insulator on the triangular lattice with 13 Ta
atoms forming a star of David cluster as the unit cell. We derive a two
dimensional XXZ spin-1/2 model with four-spin ring exchange term to describe
the effective low energy physics of a monolayer 1T-TaS, where the effective
spin-1/2 degrees of freedom arises from the Kramers degenerate spin-orbital
states on each star of David. A large scale density matrix renormalization
group simulation is further performed on this effective model and we find a
gapless spin liquid phase with spinon Fermi surface at moderate to large
strength region of four-spin ring exchange term. All peaks in the static spin
structure factor are found to be located on the "" surface of half-filled
spinon on the triangular lattice. Experiments to detect the spinon Fermi
surface phase in 1T-TaS are discussed.Comment: 5+11 pages, 4+13 figure
(Z)-1-[4-Fluoro-2-(pyrrolidin-1-yl)phenyl]-3-phenyl-2-(1H-1,2,4-triazol-1-yl)prop-2-en-1-one
In the title molecule, C21H19FN4O, the triazole ring forms dihedral angles of 67.0 (1) and 59.6 (1)° with the phenyl and fluoro-substituted benzene rings, respectively. The dihedral angle between the phenyl ring and the fluoro-substituted benzene ring is 79.1 (1)°. The pyrrolidine ring is in a half-chair conformation. In the crystal, weak C—H⋯O and C—H⋯N hydrogen bonds connect molecules into layers parallel to (001)
Strain Induced One-Dimensional Landau-Level Quantization in Corrugated Graphene
Theoretical research has predicted that ripples of graphene generates
effective gauge field on its low energy electronic structure and could lead to
zero-energy flat bands, which are the analog of Landau levels in real magnetic
fields. Here we demonstrate, using a combination of scanning tunneling
microscopy and tight-binding approximation, that the zero-energy Landau levels
with vanishing Fermi velocities will form when the effective pseudomagnetic
flux per ripple is larger than the flux quantum. Our analysis indicates that
the effective gauge field of the ripples results in zero-energy flat bands in
one direction but not in another. The Fermi velocities in the perpendicular
direction of the ripples are not renormalized at all. The condition to generate
the ripples is also discussed according to classical thin-film elasticity
theory.Comment: 4 figures, Phys. Rev.
Poly[[aquabis(μ3-isonicotinato-κ3 O:O′:N)tris(μ2-isonicotinato-κ3 O,O′:N)(nitrato-κO)bis(μ4-oxalato-κ6 O 1,O 2:O 2:O 1′,O 2′:O 1′)dierbium(III)tetrasilver(I)] tetrahydrate]
In the title coordination polymer, {[Ag4Er2(C6H4NO2)5(C2O4)2(NO3)(H2O)]·4H2O}n, each ErIII atom is coordinated in a bicapped trigonal–prismatic coordination geometry by three O atoms from two isonicotinate (IN) ligands, four O atoms from two oxalate ligands and one O atom from either a nitrate ion or a water molecule, both of which are half-occupied over the same site. One AgI atom has a Y-shaped geometry defined by one N atom from one IN ligand, one O atom from another IN ligand and one O atom from an oxalate ligand. The other AgI atom is coordinated by two IN ligands and one O atom from an oxalate ligand. One of the IN ligands is disordered over an inversion center and forms a bridge between two centrosymmetric AgI ions. Due to the disorder, this IN ligand coordinates to the Ag atom through either the pyridyl N or the carboxylate O atoms. The IN and oxalate ligands link the Er and Ag atoms into a three-dimensional coordination framework. O—H⋯O and C—H⋯O hydrogen bonds are observed in the crystal structure
The Dynamics of Bimodular Continuous Attractor Neural Networks with Static and Moving Stimuli
The brain achieves multisensory integration by combining the information
received from different sensory inputs to yield inferences with higher speed or
more accuracy. We consider a bimodular neural network each processing a
modality of sensory input and interacting with each other. The dynamics of
excitatory and inhibitory couplings between the two modules are studied with
static and moving stimuli. The modules exhibit non-trivial interactive
behaviors depending on the input strengths, their disparity and speed (for
moving inputs), and the inter-modular couplings. They give rise to a family of
models applicable to causal inference problems in neuroscience. They also
provide a model for the experiment of motion-bounce illusion, yielding
consistent results and predicting their robustness.Comment: 15 pages, 12 figures, journal pape
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