Physical Review E (Computational physics)

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Recently published articles in Phys. Rev. E in the Table of Content section "Computational physics"
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Grid refinement in the three-dimensional hybrid recursive regularized lattice Boltzmann method for compressible aerodynamics

Thu, 06/04/2020 - 10:00

Author(s): Y. Feng, S. Guo, J. Jacob, and P. Sagaut

Grid refinement techniques are of paramount importance for computational fluid dynamics approaches relying on the use of Cartesian grids. This is especially true of solvers dedicated to aerodynamics, in which the capture of thin shear layers require the use of small cells. In this paper, a three-dim...


[Phys. Rev. E 101, 063302] Published Thu Jun 04, 2020

Semi-Lagrangian implicit Bhatnagar-Gross-Krook collision model for the finite-volume discrete Boltzmann method

Mon, 06/01/2020 - 10:00

Author(s): Leitao Chen, Sauro Succi, Xiaofeng Cai, and Laura Schaefer

In order to increase the accuracy of temporal solutions, reduce the computational cost of time marching, and improve the stability associated with collisions for the finite-volume discrete Boltzmann method, an advanced implicit Bhatnagar-Gross-Krook (BGK) collision model using a semi-Lagrangian appr...


[Phys. Rev. E 101, 063301] Published Mon Jun 01, 2020

Boosting Monte Carlo simulations of spin glasses using autoregressive neural networks

Thu, 05/28/2020 - 10:00

Author(s): B. McNaughton, M. V. Milošević, A. Perali, and S. Pilati

The autoregressive neural networks are emerging as a powerful computational tool to solve relevant problems in classical and quantum mechanics. One of their appealing functionalities is that, after they have learned a probability distribution from a dataset, they allow exact and efficient sampling o...


[Phys. Rev. E 101, 053312] Published Thu May 28, 2020

Full-waveform inversion based on Kaniadakis statistics

Wed, 05/27/2020 - 10:00

Author(s): Sérgio Luiz E. F. da Silva, Pedro Tiago C. Carvalho, João M. de Araújo, and Gilberto Corso

Full-waveform inversion (FWI) is a wave-equation-based methodology to estimate the subsurface physical parameters that honor the geologic structures. Classically, FWI is formulated as a local optimization problem, in which the misfit function, to be minimized, is based on the least-squares distance ...


[Phys. Rev. E 101, 053311] Published Wed May 27, 2020

Frequency-selective harmonic retrieval for Schottky mass spectrometry

Tue, 05/26/2020 - 10:00

Author(s): Xiangcheng Chen

Nuclear mass measurements by means of Schottky mass spectrometry critically rely on an accurate determination of revolution frequencies of the circulating ions in a storage ring. Such a harmonic retrieval problem is conventionally tackled via the periodogram of the Schottky data, where the ion peaks...


[Phys. Rev. E 101, 053310] Published Tue May 26, 2020

Cluster integrals and virial coefficients for realistic molecular models

Fri, 05/22/2020 - 10:00

Author(s): Richard J. Wheatley, Andrew J. Schultz, Hainam Do, Navneeth Gokul, and David A. Kofke

We present a concise, general, and efficient procedure for calculating the cluster integrals that relate thermodynamic virial coefficients to molecular interactions. The approach encompasses nonpairwise intermolecular potentials generated from quantum chemistry or other sources; a simple extension p...


[Phys. Rev. E 101, 051301(R)] Published Fri May 22, 2020

Three-dimensional lattice Boltzmann flux solver for simulation of fluid-solid conjugate heat transfer problems with curved boundary

Thu, 05/21/2020 - 10:00

Author(s): L. M. Yang, C. Shu, Z. Chen, and J. Wu

A three-dimensional (3D) lattice Boltzmann flux solver is presented in this work for simulation of fluid-solid conjugate heat transfer problems with a curved boundary. In this scheme, the macroscopic governing equations for mass, momentum, and energy conservation are discretized by the finite-volume...


[Phys. Rev. E 101, 053309] Published Thu May 21, 2020

Dynamic coupling between particle-in-cell and atomistic simulations

Mon, 05/18/2020 - 10:00

Author(s): Mihkel Veske, Andreas Kyritsakis, Flyura Djurabekova, Kyrre Ness Sjobak, Alvo Aabloo, and Vahur Zadin

We propose a method to directly couple molecular dynamics, the finite element method, and particle-in-cell techniques to simulate metal surface response to high electric fields. We use this method to simulate the evolution of a field-emitting tip under thermal runaway by fully including the three-di...


[Phys. Rev. E 101, 053307] Published Mon May 18, 2020

Three-dimensional multiscale fusion for porous media on microtomography images of different resolutions

Mon, 05/18/2020 - 10:00

Author(s): Xuan Li, Qizhi Teng, Yonghao Zhang, Shuhua Xiong, and Junxi Feng

Accurately acquiring the three-dimensional (3D) image of a porous medium is an imperative issue for the prediction of multiple physical properties. Considering the inherent nature of the multiscale pores contained in porous media such as tight sandstones, to completely characterize the pore structur...


[Phys. Rev. E 101, 053308] Published Mon May 18, 2020

Multiscale modeling algorithm for core images

Fri, 05/08/2020 - 10:00

Author(s): Zhengji Li, Xiaohai He, Qizhi Teng, and Honggang Chen

Computed tomography (CT) images of large core samples acquired by imaging equipment are insufficiently clear and ineffectively describe the tiny pore structure; conversely, images of small core samples are insufficiently globally representative. To alleviate these challenges, the idea of a super-res...


[Phys. Rev. E 101, 053303] Published Fri May 08, 2020

Coordinate transformation methodology for simulating quasistatic elastoplastic solids

Fri, 05/08/2020 - 10:00

Author(s): Nicholas M. Boffi and Chris H. Rycroft

Molecular dynamics simulations frequently employ periodic boundary conditions where the positions of the periodic images are manipulated in order to apply deformation to the material sample. For example, Lees-Edwards conditions use moving periodic images to apply simple shear. Here, we examine the p...


[Phys. Rev. E 101, 053304] Published Fri May 08, 2020

Force-amplified, single-sided diffused-interface immersed boundary kernel for correct local velocity gradient computation and accurate no-slip boundary enforcement

Fri, 05/08/2020 - 10:00

Author(s): Cheng Peng and Lian-Ping Wang

The current diffused-interface immersed boundary method (IBM) with a two-sided force distribution kernel cannot be used to correctly calculate the velocity gradients within the diffused solid-fluid interfaces. This is because the nonzero boundary force distributed to the fluid nodes modifies the mom...


[Phys. Rev. E 101, 053305] Published Fri May 08, 2020

Semi-Lagrangian lattice Boltzmann method for compressible flows

Fri, 05/08/2020 - 10:00

Author(s): Dominik Wilde, Andreas Krämer, Dirk Reith, and Holger Foysi

This work thoroughly investigates a semi-Lagrangian lattice Boltzmann (SLLBM) solver for compressible flows. In contrast to other LBM for compressible flows, the vertices are organized in cells, and interpolation polynomials up to fourth order are used to attain the off-vertex distribution function ...


[Phys. Rev. E 101, 053306] Published Fri May 08, 2020

Particle dynamics at fluid interfaces studied by the color gradient lattice Boltzmann method coupled with the smoothed profile method

Thu, 05/07/2020 - 10:00

Author(s): Young Ki Lee and Kyung Hyun Ahn

We suggest a numerical method to describe particle dynamics at the fluid interface. We adopt a coupling strategy by combining the color gradient lattice Boltzmann method (CGLBM) and smoothed profile method (SPM). The proposed scheme correctly resolves the momentum transfer among the solid particles ...


[Phys. Rev. E 101, 053302] Published Thu May 07, 2020

Transfer learning for scalability of neural-network quantum states

Tue, 05/05/2020 - 10:00

Author(s): Remmy Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, and Stéphane Bressan

Neural-network quantum states have shown great potential for the study of many-body quantum systems. In statistical machine learning, transfer learning designates protocols reusing features of a machine learning model trained for a problem to solve a possibly related but different problem. We propos...


[Phys. Rev. E 101, 053301] Published Tue May 05, 2020

Sampling first-passage times of fractional Brownian motion using adaptive bisections

Wed, 04/29/2020 - 10:00

Author(s): Benjamin Walter and Kay Jörg Wiese

We present an algorithm to efficiently sample first-passage times for fractional Brownian motion. To increase the resolution, an initial coarse lattice is successively refined close to the target, by adding exactly sampled midpoints, where the probability that they reach the target is non-negligible...


[Phys. Rev. E 101, 043312] Published Wed Apr 29, 2020

Simulation of high-viscosity-ratio multicomponent fluid flow using a pseudopotential model based on the nonorthogonal central-moments lattice Boltzmann method

Tue, 04/28/2020 - 10:00

Author(s): Farshad Gharibi and Mahmud Ashrafizaadeh

In this research, the development of a pseudopotential multicomponent model with the capability of simulating high-viscosity-ratio flows is discussed and examined. The proposed method is developed based on the non-orthogonal central moments model in the lattice Boltzmann method, and the exact differ...


[Phys. Rev. E 101, 043311] Published Tue Apr 28, 2020

Discrete unified gas kinetic scheme for electrostatic plasma and its comparison with the particle-in-cell method

Mon, 04/27/2020 - 10:00

Author(s): Hongtao Liu, Lulu Quan, Qing Chen, Shengjin Zhou, and Yong Cao

In this paper, we present a finite-volume direct kinetic method, the so-called discrete unified gas kinetic scheme (DUGKS), for electrostatic plasma. One key feature of this method is the semi-implicit unsplitting treatment of particle transport and collision, and thus the time step in current DUGKS...


[Phys. Rev. E 101, 043307] Published Mon Apr 27, 2020

Microstructure synthesis using style-based generative adversarial networks

Mon, 04/27/2020 - 10:00

Author(s): Daria Fokina, Ekaterina Muravleva, George Ovchinnikov, and Ivan Oseledets

This work considers the usage of StyleGAN architecture for the task of microstructure synthesis. The task is the following: Given number of samples of structure we try to generate similar samples at the same time preserving its properties. Since the considered architecture is not able to produce sam...


[Phys. Rev. E 101, 043308] Published Mon Apr 27, 2020

Enabling simulations of grains within a full rotation range in amplitude expansion of the phase-field crystal model

Mon, 04/27/2020 - 10:00

Author(s): Matjaž Berčič and Goran Kugler

This paper introduces improvements to the amplitude expansion of the phase-field crystal model that enable the simulation of grains within a full range of orientations. The unphysical grain boundary between grains, rotated by a crystal's symmetry rotation, is removed using a combination of the auxil...


[Phys. Rev. E 101, 043309] Published Mon Apr 27, 2020

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