Physical Review E (Computational physics)

Syndicate content
Recently published articles in Phys. Rev. E in the Table of Content section "Computational physics"
Updated: 2 days 19 hours ago

Hydrodynamic behavior of the pseudopotential lattice Boltzmann method for interfacial flows

Fri, 05/17/2019 - 10:00

Author(s): Daniele Chiappini, Mauro Sbragaglia, Xiao Xue, and Giacomo Falcucci

The lattice Boltzmann method (LBM) is routinely employed in the simulation of complex multiphase flows comprising bulk phases separated by nonideal interfaces. The LBM is intrinsically mesoscale with a hydrodynamic equivalence popularly set by the Chapman-Enskog analysis, requiring that fields slowl...

[Phys. Rev. E 99, 053305] Published Fri May 17, 2019

Application of atomic stress to compute heat flux via molecular dynamics for systems with many-body interactions

Tue, 05/14/2019 - 10:00

Author(s): Donatas Surblys, Hiroki Matsubara, Gota Kikugawa, and Taku Ohara

Although the computation of heat flux and thermal conductivity either via Fourier's law or the Green-Kubo relation has become a common task in molecular dynamics simulation, contributions of three-body and larger many-body interactions have always proved problematic to compute. In recent years, due ...

[Phys. Rev. E 99, 051301(R)] Published Tue May 14, 2019

Hybrid Monte Carlo algorithm for sampling rare events in space-time histories of stochastic fields

Tue, 05/07/2019 - 10:00

Author(s): G. Margazoglou, L. Biferale, R. Grauer, K. Jansen, D. Mesterházy, T. Rosenow, and R. Tripiccione

We introduce a variant of the Hybrid Monte Carlo (HMC) algorithm to address large-deviation statistics in stochastic hydrodynamics. Based on the path-integral approach to stochastic (partial) differential equations, our HMC algorithm samples space-time histories of the dynamical degrees of freedom u...

[Phys. Rev. E 99, 053303] Published Tue May 07, 2019

Diffuse-interface immersed-boundary framework for conjugate-heat-transfer problems

Tue, 05/07/2019 - 10:00

Author(s): Mukesh Kumar and Ganesh Natarajan

A monolithic solver based on a diffuse-interface immersed-boundary (IB) approach for conjugate-heat-transfer (CHT) problems is presented. The IB strategy assumes that the solid which is “immersed” into the computational grid is occupied by a “virtual” fluid to facilitate construction of “unified” go...

[Phys. Rev. E 99, 053304] Published Tue May 07, 2019

Separate-phase model and its lattice Boltzmann algorithm for liquid-vapor two-phase flows in porous media

Thu, 05/02/2019 - 10:00

Author(s): Shurong Lei and Yong Shi

In this article, we formulate a set of the separate-phase governing equations at the representative-elementary-volume scale and develop its double-distribution function lattice Boltzmann (LB) algorithm to describe liquid-vapor two-phase flows with or without phase change in porous media. Different f...

[Phys. Rev. E 99, 053302] Published Thu May 02, 2019

Generalized lattice Boltzmann model for frosting

Wed, 05/01/2019 - 10:00

Author(s): Timan Lei, Kai H. Luo, and Duan Wu

Frosting is a multiscale and multiphysics problem, which presents a significant challenge for numerical methods. In this study, a generalized lattice Boltzmann (LB) model is developed to simulate the frosting of humid air at representative elementary volume scale. In this model, three LB equations a...

[Phys. Rev. E 99, 053301] Published Wed May 01, 2019

High-order lattice-Boltzmann model for the Cahn-Hilliard equation

Tue, 04/30/2019 - 10:00

Author(s): Chunhua Zhang, Zhaoli Guo, and Hong Liang

The Cahn-Hilliard equation (CHE) is widely used in modeling two-phase fluid flows, and it is critical to solve this equation accurately to track the interface between the two phases. In this paper, a high-order lattice Boltzmann equation model is developed for the CHE via the fourth-order Chapman-En...

[Phys. Rev. E 99, 043310] Published Tue Apr 30, 2019

Uniform line fillings

Thu, 04/25/2019 - 10:00

Author(s): Evangelos Marakis, Matthias C. Velsink, Lars J. Corbijn van Willenswaard, Ravitej Uppu, and Pepijn W. H. Pinkse

Deterministic fabrication of random metamaterials requires filling of a space with randomly oriented and randomly positioned chords with an on-average homogenous density and orientation, which is a nontrivial task. We describe a method to generate fillings with such chords, lines that run from edge ...

[Phys. Rev. E 99, 043309] Published Thu Apr 25, 2019

Confusion scheme in machine learning detects double phase transitions and quasi-long-range order

Wed, 04/24/2019 - 10:00

Author(s): Song Sub Lee and Beom Jun Kim

Thanks to the development of machine learning techniques, it has been shown that the supervised learning can be useful to study critical phenomena of various systems. However, the supervised learning cannot be done without labels which require knowledge about critical behavior of the system. To over...

[Phys. Rev. E 99, 043308] Published Wed Apr 24, 2019

Recognition of polymer configurations by unsupervised learning

Mon, 04/22/2019 - 10:00

Author(s): Xin Xu, Qianshi Wei, Huaping Li, Yuzhang Wang, Yuguo Chen, and Ying Jiang

Unsupervised learning as an important branch of machine learning is commonly adopted to discover patterns, with the purpose of conducting data clustering without being labeled in advance. In this study, we elucidate the striking ability of unsupervised learning techniques in exploring the phase tran...

[Phys. Rev. E 99, 043307] Published Mon Apr 22, 2019

Feeding the multitude: A polynomial-time algorithm to improve sampling

Mon, 04/15/2019 - 10:00

Author(s): Andrew J. Ochoa, Darryl C. Jacob, Salvatore Mandrà, and Helmut G. Katzgraber

A wide variety of optimization techniques, both exact and heuristic, tend to be biased samplers. This means that when attempting to find multiple uncorrelated solutions of a degenerate Boolean optimization problem a subset of the solution space tends to be favored while, in the worst case, some solu...

[Phys. Rev. E 99, 043306] Published Mon Apr 15, 2019

Deterministic limit of temporal difference reinforcement learning for stochastic games

Wed, 04/10/2019 - 10:00

Author(s): Wolfram Barfuss, Jonathan F. Donges, and Jürgen Kurths

Reinforcement learning is a way for an artificial intelligence system to learn by trial and error. This paper presents a deterministic limit of such a learning method, in an environment that changes in time. The method is applied to three well-known learning algorithms.

[Phys. Rev. E 99, 043305] Published Wed Apr 10, 2019

Machine learning wall effects of eccentric spheres for convenient computation

Mon, 04/08/2019 - 10:00

Author(s): Lachlan J. Gibson, Shu Zhang, Alexander B. Stilgoe, Timo A. Nieminen, and Halina Rubinsztein-Dunlop

In confined systems, such as the inside of a biological cell, the outer boundary or wall can affect the dynamics of internal particles. In many cases of interest both the internal particle and outer wall are approximately spherical. Therefore, quantifying the wall effects from an outer spherical bou...

[Phys. Rev. E 99, 043304] Published Mon Apr 08, 2019

Auxiliary master equation approach within stochastic wave functions: Application to the interacting resonant level model

Thu, 04/04/2019 - 10:00

Author(s): Max E. Sorantin, Delia M. Fugger, Antonius Dorda, Wolfgang von der Linden, and Enrico Arrigoni

We present further developments of the auxiliary master equation approach (AMEA), a numerical method to simulate many-body quantum systems in as well as out of equilibrium and apply it to the interacting resonant level model to benchmark the new developments. In particular, our results are obtained ...

[Phys. Rev. E 99, 043303] Published Thu Apr 04, 2019

Phase-field method based on discrete unified gas-kinetic scheme for large-density-ratio two-phase flows

Wed, 04/03/2019 - 10:00

Author(s): Zeren Yang (杨泽人), Chengwen Zhong (钟诚文), and Congshan Zhuo (卓丛山)

In this paper, a phase-field method under the framework of discrete unified gas-kinetic scheme (DUGKS) for incompressible multiphase fluid flows is proposed. Two kinetic models are constructed to solve the conservative Allen-Cahn equation that accounts for the interface behavior and the incompressib...

[Phys. Rev. E 99, 043302] Published Wed Apr 03, 2019

Event-chain Monte Carlo with factor fields

Tue, 04/02/2019 - 10:00

Author(s): Ze Lei, Werner Krauth, and A. C. Maggs

We study the dynamics of one-dimensional (1D) interacting particles simulated with the event-chain Monte Carlo algorithm (ECMC). We argue that previous versions of the algorithm suffer from a mismatch in the factor potential between different particle pairs (factors) and show that in 1D models, this...

[Phys. Rev. E 99, 043301] Published Tue Apr 02, 2019

Resolution of the sign problem for a frustrated triplet of spins

Fri, 03/29/2019 - 10:00

Author(s): Itay Hen

We propose a mechanism for solving the “negative sign problem”—the inability to assign non-negative weights to quantum Monte Carlo configurations—for a toy model consisting of a frustrated triplet of spin-1/2 particles interacting antiferromagnetically. The introduced technique is based on the syste...

[Phys. Rev. E 99, 033306] Published Fri Mar 29, 2019

Oblique-incidence, arbitrary-profile wave injection for electromagnetic simulations

Fri, 03/29/2019 - 10:00

Author(s): F. Pérez and M. Grech

In an electromagnetic code, a wave can be injected in the simulation domain by prescribing an oscillating field profile at the domain boundary. The process is straightforward when the field profile has a known analytical expression (typically, paraxial Gaussian beams). However, if the field profile ...

[Phys. Rev. E 99, 033307] Published Fri Mar 29, 2019

Theoretical foundation of detrending methods for fluctuation analysis such as detrended fluctuation analysis and detrending moving average

Thu, 03/28/2019 - 10:00

Author(s): Marc Höll, Ken Kiyono, and Holger Kantz

Nonstationarity in complex systems makes the analysis of time series difficult. In this work, the authors propose a theoretical framework that enables us to understand how detrending methods work under a variety of conditions.

[Phys. Rev. E 99, 033305] Published Thu Mar 28, 2019

Lattice Boltzmann models based on the vielbein formalism for the simulation of flows in curvilinear geometries

Mon, 03/25/2019 - 10:00

Author(s): Sergiu Busuioc and Victor E. Ambruş

In this paper, we consider the Boltzmann equation with respect to orthonormal vielbein fields in conservative form. This formalism allows the use of arbitrary coordinate systems to describe the space geometry, as well as of an adapted coordinate system in the momentum space, which is linked to the p...

[Phys. Rev. E 99, 033304] Published Mon Mar 25, 2019

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer