34 research outputs found
The upper critical magnetic field of holographic superconductor with conformally invariant power-Maxwell electrodynamics
The properties of -dimensional -wave holographic superconductor in
the presence of power-Maxwell field is explored. We study the probe limit in
which the scalar and gauge fields do not backreact on the background geometry.
Our study is based on the matching of solutions on the boundary and on the
horizon at some intermediate point. At first, the case without external
magnetic field is considered, and the critical temperature is obtained in terms
of the charge density, the dimensionality, and the power-Maxwell exponent.
Then, a magnetic field is turned on in the -dimensional bulk which can
influence the -dimensional holographic superconductor at the boundary.
The phase behavior of the corresponding holographic superconductor is obtained
by computing the upper critical magnetic field in the presence of power-Maxwell
electrodynamics, characterized by the power exponent . Interestingly, it is
observed that in the presence of magnetic field, the physically acceptable
phase behavior of the holographic superconductor is obtained for ,
which guaranties the conformal invariance of the power-Maxwell Lagrangian. The
case of physical interest in five spacetime dimensions (, and ) is
considered in detail, and compared with the results obtained for the usual
Maxwell electrodynamics in the same dimensions.Comment: 12 pages, 1 table, 5 figure
On the static length of relaxation and the origin of dynamic heterogeneity in fragile glass-forming liquids
The most puzzling aspect of the glass transition observed in laboratory is an
apparent decoupling of dynamics from structure. In this paper we recount the
implication of various theories of glass transition for the static correlation
length in an attempt to reconcile the dynamic and static lengths associate with
the glass problem. We argue that a more recent characterization of the static
relaxation length based on the bond ordering scenario, as the typical length
over which the energy fluctuations are correlated, is more consistent with, and
indeed in perfect agreement with the typical linear size of the dynamically
heterogeneous domains observed in deeply supercooled liquids. The correlated
relaxation of bonds in terms of energy is therefore identified as the physical
origin of the observed dynamic heterogeneity.Comment: 6 pages, 1 figur
Molecular Control Of Synaptic Efficacy Within Striatal Circuits
As the input nucleus of the basal ganglia, the striatum integrates diverse excitatory projections governing cognitive and motor control. Over the last decade, substantial progress has been made in the identification of striatal cell-types, distinguishing their molecular profiles and local connectivity patterns. Nevertheless, our understanding of the functional organization of striatal circuits remains limited. The studies presented in this thesis focus on delineating the synaptic properties of excitatory inputs originating from dorsal prefrontal cortex and parafascicular thalamus innervating neuronal populations within dorsal medial striatum. In these studies, we use quantitative optogenetic measures to investigate striatal projections in an input-specific manner onto distinct striatal neuronal populations. In the first study, we find a divergence between cell-type specific anatomical connectivity and measures of excitatory strength. Furthermore, we find that synaptic strength is modified according to both presynaptic region and postsynaptic cell type. As a substantial degree of synaptic function is determined by the molecular composition of individual neurons and their synapses, the second study examines the role of a cell-adhesion molecule, Neurexin1É‘, at these synapses. We found Neurexin1É‘, a gene with broad neuropsychiatric disease association, regulates synaptic efficacy at these synapses in an input- and postsynaptic cell type manner. Together, these studies demonstrate a significant amount of diversity observed in physiological connectivity can be attributed to presynaptic-postsynaptic interactions and their underlying molecular composition. Ultimately, forming a comprehensive map of striatal circuits will be essential in understanding how the convergence of inputs from various sources convey information for distinct behavioral functions
Identifying specific prefrontal neurons that contribute to autism-associated abnormalities in physiology and social behavior.
Functional imaging and gene expression studies both implicate the medial prefrontal cortex (mPFC), particularly deep-layer projection neurons, as a potential locus for autism pathology. Here, we explored how specific deep-layer prefrontal neurons contribute to abnormal physiology and behavior in mouse models of autism. First, we find that across three etiologically distinct models-in utero valproic acid (VPA) exposure, CNTNAP2 knockout and FMR1 knockout-layer 5 subcortically projecting (SC) neurons consistently exhibit reduced input resistance and action potential firing. To explore how altered SC neuron physiology might impact behavior, we took advantage of the fact that in deep layers of the mPFC, dopamine D2 receptors (D2Rs) are mainly expressed by SC neurons, and used D2-Cre mice to label D2R+ neurons for calcium imaging or optogenetics. We found that social exploration preferentially recruits mPFC D2R+ cells, but that this recruitment is attenuated in VPA-exposed mice. Stimulating mPFC D2R+ neurons disrupts normal social interaction. Conversely, inhibiting these cells enhances social behavior in VPA-exposed mice. Importantly, this effect was not reproduced by nonspecifically inhibiting mPFC neurons in VPA-exposed mice, or by inhibiting D2R+ neurons in wild-type mice. These findings suggest that multiple forms of autism may alter the physiology of specific deep-layer prefrontal neurons that project to subcortical targets. Furthermore, a highly overlapping population-prefrontal D2R+ neurons-plays an important role in both normal and abnormal social behavior, such that targeting these cells can elicit potentially therapeutic effects
Isomorph invariance of Couette shear flows simulated by the SLLOD equations of motion
Non-equilibrium molecular dynamics simulations were performed to study the
thermodynamic, structural, and dynamical properties of the single-component
Lennard-Jones and the Kob-Andersen binary Lennard-Jones liquids. Both systems
are known to be strongly correlating, i.e., have strong correlations between
equilibrium thermal fluctuations of virial and potential energy. Such systems
have good isomorphs, i.e., curves in the thermodynamic phase diagram along
which structural, dynamical, and some thermodynamic quantities are invariant
when expressed in reduced units. The SLLOD equations of motion were used to
simulate Couette shear flows of the two systems. We show analytically that
these equations are isomorph invariant provided the reduced strain rate is
fixed along the isomorph. Since isomorph invariance is generally only
approximate, a range of shear rates were simulated to test for the predicted
invariance, covering both the linear and non-linear regimes. For both systems,
when represented in reduced units the radial distribution function and the
intermediate scattering function collapse for state points that are isomorphic.
The strain-rate dependence of the viscosity, which exhibits shear thinning, is
also invariant along an isomorph. Our results extend the isomorph concept to
the state-state non-equilibrium situation of a shear flow, in which the phase
diagram is three dimensional because the shear rate defines the third
dimension
Relation between positional specific heat and static relaxation length: Application to supercooled liquids
A general identification of the {\em positional specific heat} as the
thermodynamic response function associated with the {\em static relaxation
length} is proposed, and a phenomenological description for the thermal
dependence of the static relaxation length in supercooled liquids is presented.
Accordingly, through a phenomenological determination of positional specific
heat of supercooled liquids, we arrive at the thermal variation of the static
relaxation length , which is found to vary in accordance with in the quasi-equilibrium supercooled temperature regime, where
is the Vogel-Fulcher temperature and exponent equals unity. This
result to a certain degree agrees with that obtained from mean field theory of
random-first-order transition, which suggests a power law temperature variation
for with an apparent divergence at . However, the phenomenological
exponent , is higher than the corresponding mean field estimate
(becoming exact in infinite dimensions), and in perfect agreement with the
relaxation length exponent as obtained from the numerical simulations of the
same models of structural glass in three spatial dimensions.Comment: Revised version, 7 pages, no figures, submitted to IOP Publishin
Molecular Control of Synaptic Efficacy Within Striatal Circuits
As the input nucleus of the basal ganglia, the striatum integrates diverse excitatory projections governing cognitive and motor control. Over the last decade, substantial progress has been made in the identification of striatal cell-types, distinguishing their molecular profiles and local connectivity patterns. Nevertheless, our understanding of the functional organization of striatal circuits remains limited. The studies presented in this thesis focus on delineating the synaptic properties of excitatory inputs originating from dorsal prefrontal cortex and parafascicular thalamus innervating neuronal populations within dorsal medial striatum. In these studies, we use quantitative optogenetic measures to investigate striatal projections in an input-specific manner onto distinct striatal neuronal populations. In the first study, we find a divergence between cell-type specific anatomical connectivity and measures of excitatory strength. Furthermore, we find that synaptic strength is modified according to both presynaptic region and postsynaptic cell type. As a substantial degree of synaptic function is determined by the molecular composition of individual neurons and their synapses, the second study examines the role of a cell-adhesion molecule, Neurexin1É‘, at these synapses. We found Neurexin1É‘, a gene with broad neuropsychiatric disease association, regulates synaptic efficacy at these synapses in an input- and postsynaptic cell type manner. Together, these studies demonstrate a significant amount of diversity observed in physiological connectivity can be attributed to presynaptic-postsynaptic interactions and their underlying molecular composition. Ultimately, forming a comprehensive map of striatal circuits will be essential in understanding how the convergence of inputs from various sources convey information for distinct behavioral functions
Analytic study of electrical, thermal and thermoelectric properties of ultra-thin
The doping density, temperature, wire thickness, indium content, and surface roughness effects on electronic, thermal, and thermoelectric transport coefficients of ultra-thin InGaN/GaN nanowires are investigated by applying the analytic procedure to polar semiconductors where piezoelectric effect and polar optical phonon scatterings also play significant roles. We calculate the low-field electron mobility, electronic Seebeck coefficient, and lattice thermal conductivity based on relaxation time approximation within linear response theory and Boltzmann transport equation. The dispersion of longitudinal acoustic phonons and the corresponding group velocities in nanowires are determined by applying the xyz-algorithm. The highest room temperature is achieved for 4-nm-thick nanowire that is an order of magnitude larger than the bulk ZT value of 0.02 and the ZT value of the same nanowire at reaches a magnitude of 0.55. The effect of nanostructuring is found to be more pronounced than alloying