Dimensionless ratios of physical properties can characterize low-temperature phases in a wide variety of materials. As such, the Wilson ratio (WR), the Kadowaki-Woods ratio, and the Wiedemann-Franz law capture essenti...
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Dimensionless ratios of physical properties can characterize low-temperature phases in a wide variety of materials. As such, the Wilson ratio (WR), the Kadowaki-Woods ratio, and the Wiedemann-Franz law capture essential features of Fermi liquids in metals, heavy fermions, etc. Here we prove that the phases of many-body interacting multicomponent quantum liquids in one dimension (1D) can be described by WRs based on the compressibility, susceptibility, and specific heat associated with each component. These WRs arise due to additivity rules within subsystems reminiscent of the rules for multiresistor networks in series and parallel—a novel and useful characteristic of multicomponent Tomonaga-Luttinger liquids (TLL) independent of microscopic details of the systems. Using experimentally realized multispecies cold atomic gases as examples, we prove that the Wilson ratios uniquely identify phases of TLL, while providing universal scaling relations at the boundaries between phases. Their values within a phase are solely determined by the stiffnesses and sound velocities of subsystems and identify the internal degrees of freedom of said phase such as its spin degeneracy. This finding can be directly applied to a wide range of 1D many-body systems and reveals deep physical insights into recent experimental measurements of the universal thermodynamics in ultracold atoms and spins.
In this paper, a nonconvex regularization based matrix decomposition model (NRMD) is proposed. In NRMD, the non-salient regions are regarded as a low rank part, and the salient regions are viewed as a sparse part. Dif...
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In this paper, a nonconvex regularization based matrix decomposition model (NRMD) is proposed. In NRMD, the non-salient regions are regarded as a low rank part, and the salient regions are viewed as a sparse part. Different from previous methods, the non-salient regions are constrained by Sp-norm (0
This paper introduces an optimization template library (OTL), a cross-platform C++ template library for multiobjective optimization. OTL has an object-oriented architecture, which allows that different modules can be ...
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ISBN:
(纸本)9781479974931
This paper introduces an optimization template library (OTL), a cross-platform C++ template library for multiobjective optimization. OTL has an object-oriented architecture, which allows that different modules can be arbitrarily combined with each other. Moreover, the C++ template technique is used to increase the flexibility of OTL. Meanwhile, generic programming is widely used in OTL, and the generic algorithms can be used to process different data structures. However, compared with C++, the Python script is more suitable for building the experimental platform. To ensure that all attributes of the experimental results can be fully maintained, a database is used to store the experimental data. Moreover, batch experiments can be easily defined in a set of configuration files; thus, the experiments can be executed automatically without human intervention. In addition, serial and various parallel execution modes are supported, and the user can easily switch the running mode to distributed computing to increase the computing speed. Finally, a highly customizable data visualization tool is created to play back the data sample stored in the database. From a series of comparative studies, the accuracy and running performance of OTL are verified by the statistical results.
Based on the idea of maximum determinant positive definite matrix completion,Yamashita(Math Prog 115(1):1–30,2008)proposed a new sparse quasi-Newton update,called MCQN,for unconstrained optimization problems with spa...
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Based on the idea of maximum determinant positive definite matrix completion,Yamashita(Math Prog 115(1):1–30,2008)proposed a new sparse quasi-Newton update,called MCQN,for unconstrained optimization problems with sparse Hessian *** exchange of the relaxation of the secant equation,the MCQN update avoids solving difficult subproblems and overcomes the ill-conditioning of approximate Hessian ***,local and superlinear convergence results were only established for the MCQN update with the DFP *** this paper,we extend the convergence result to the MCQN update with the whole Broyden’s convex *** results are also reported,which suggest some efficient ways of choosing the parameter in the MCQN update the Broyden’s family.
We introduce a new multigrid method to study the lattice statics model arising from nanoindentation.A constrained Cauchy-Born elasticity model is used as the coarse-grid *** method accelerates the relaxation process a...
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We introduce a new multigrid method to study the lattice statics model arising from nanoindentation.A constrained Cauchy-Born elasticity model is used as the coarse-grid *** method accelerates the relaxation process and considerably reduces the computational *** particular,it saves quite a bit when dislocations nucleate and move,as demonstrated by the simulation results.
Detection of patient zero can give new insights to epidemiologists about the nature of first transmissions into a population. In this Letter, we study the statistical inference problem of detecting the source of epide...
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Detection of patient zero can give new insights to epidemiologists about the nature of first transmissions into a population. In this Letter, we study the statistical inference problem of detecting the source of epidemics from a snapshot of spreading on an arbitrary network structure. By using exact analytic calculations and Monte Carlo estimators, we demonstrate the detectability limits for the susceptible-infected-recovered model, which primarily depend on the spreading process characteristics. Finally, we demonstrate the applicability of the approach in a case of a simulated sexually transmitted infection spreading over an empirical temporal network of sexual interactions.
作者:
Xiantao LiPingbing MingDepartment of Mathematics
the Pennsylvania State UniversityUniversity ParkPennsylvania16802USA LSEC
Institute of Computational Mathematics and Scientific/Engineering ComputingAMSSChinese Academy of SciencesNo.55East Road Zhong-Guan-CunBeijing100190P.R.China
Numerical error caused by“ghost forces”in a quasicontinuum method is studied in the context of dynamic *** error in the discrete W^(1,∞)norm is analyzed for the time scale O(ε)and the time scale O(1)withεbeing th...
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Numerical error caused by“ghost forces”in a quasicontinuum method is studied in the context of dynamic *** error in the discrete W^(1,∞)norm is analyzed for the time scale O(ε)and the time scale O(1)withεbeing the lattice spacing.
We will present a atomic-continuum modeling framework based on unstructured mesh to study molecular solvation in aqueous salt solution, as well as nonequilibrium ionic flow in ion channel. Unstructured mesh allows emp...
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We will present a atomic-continuum modeling framework based on unstructured mesh to study molecular solvation in aqueous salt solution, as well as nonequilibrium ionic flow in ion channel. Unstructured mesh allows employment of well-established finite element/boundary element methods and packages to achieve high computational speed, accuracy and expandability. We developed a robust molecular surface mesh generation software, TMSmesh, to handle complex and arbitrarily large biomolecular systems in PDB, which allows applying FEM/BEM to continuum molecular modeling for general biomolecular systems, especially for large-scale and complicate systems. With the surface mesh and our latest version of AFMPB combining a parallel adaptive new version fast multipole method and BEM, we can successfully compute the PB electrostatics of a virus molecule with more than one million atoms and with more than ten million triangles in the surface mesh. For nonlinear PB cases and more general non-equilibrium electro-diffusion processes described by the Poisson-Nernst-Planck equations, we resort to a parallel adaptive finite element method, and the PB can be treated as a special case of PNP model. PNP modeling tracks particle diffusion and time information, and allows convenient incorporation of more physical effects such as size effects and ion-ion correlations in the model. Examples of non-equilibrium simulation will be given on the diffusion controlled substrate-enzyme encounter dynamics and on ionic flow through an ion channel. In addition, we also specifically designed a visualization system, VCMM, to facilitate continuum modeling based on unstructured mesh, which is not supported by usual visual systems in molecular modeling community. VCMM is a comprehensive system for visualizing and analyzing data from generic continuum molecular modeling. It can visualize molecule, mesh(especially unstructured mesh), and numerical results all at once. With these highly technical approaches and a
This paper presents a new Lagrangian type scheme for solving the Euler equations of compressible gas *** this new scheme the system of equations is discretized by Runge-Kutta Discontinuous Galerkin(RKDG)method,and the...
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This paper presents a new Lagrangian type scheme for solving the Euler equations of compressible gas *** this new scheme the system of equations is discretized by Runge-Kutta Discontinuous Galerkin(RKDG)method,and the mesh moves with the fluid *** scheme is conservative for the mass,momentum and total energy and maintains second-order *** scheme avoids solving the geometrical part and has free *** of some numerical tests are presented to demonstrate the accuracy and the non-oscillatory property of the scheme.
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