output
20102025
most citedDiscrete Boltzmann modeling of multiphase flows: hydrodynamic and thermodynamic non-equilibrium effects

159 citations

28 papers

cond-mat.mtrl-sci2025★ 3 cited

Identification of the high-pressure phases of alpha-SnWO4 combining x-ray diffraction and crystal structure prediction

Daniel Diaz-Anichtchenko, Jordi Ibáñez, Pablo Botella +7

We have characterized the high-pressure behavior of alpha-SnWO4. The compound has been studied up to 30 GPa using a diamond-anvil cell and synchrotron powder X-ray diffraction. We…

gr-qc2025★ 4 cited

Observational properties of black hole in quantum fluctuation modified gravity

Jiajun Yin, Tong-Yu He, Ming Liu +4

This study investigates the properties of the thin accretion disk around a black hole in quantum fluctuation modified gravity (QFMGBH) using the Novikov-Thorne model. We restrict t…

physics.flu-dyn2025★ 7 cited

Thermodynamic nonequilibrium effects in three-dimensional high-speed compressible flows: Multiscale modeling and simulation via the discrete Boltzmann method

Qinghong Guo, Yanbiao Gan, Bin Yang +3

Three-dimensional (3D) high-speed compressible flow is a typical nonlinear, nonequilibrium, and multiscale complex flow. Traditional fluid mechanics models, based on the quasi-cont…

gr-qc2024

Reconstructing square-law k-inflation from Planck data

Ming Liu, Tong-Yu He, Bohai Chen +2

We explore a square-law k-inflation using the Hamilton-Jacobi approach. Focusing on scenarios where the Hubble parameter exhibits a power-law dependence on the k-field, our analysi…

physics.flu-dyn2023★ 47 cited

Advances in the kinetics of heat and mass transfer in near-continuous complex flows

Aiguo Xu, Dejia Zhang, Yanbiao Gan

The study of macro continuous flow has a long history. Simultaneously, the exploration of heat and mass transfer in small systems with a particle number of several hundred or less…

physics.flu-dyn2023★ 16 cited

Viscous effects on morphological and thermodynamic non-equilibrium characterizations of shock-bubble interaction

Dejia Zhang, Aiguo Xu, Yanbiao Gan +3

A two-fluid discrete Boltzmann model with a flexible Prandtl number is formulated to study the shock-bubble interaction (SBI). This paper mainly focuses on the viscous effects on m…

physics.flu-dyn2022★ 14 cited

Thermodynamic non-equilibrium effects in bubble coalescence: A discrete Boltzmann study

Guanglan Sun, Yanbiao Gan, Aiguo Xu +2

The Thermodynamic Non-Equilibrium (TNE) effects in the coalescing process of two initially static bubbles under thermal conditions are investigated by a Discrete Boltzmann Model (D…

physics.flu-dyn2022★ 31 cited

Discrete Boltzmann modeling of high-speed compressible flows with various depths of non-equilibrium

Dejia Zhang, Aiguo Xu, Yudong Zhang +2

The non-equilibrium high-speed compressible flows present wealthy applications in engineering and science. With the deepening of Thermodynamic Non-Equilibrium (TNE), higher-order n…

physics.flu-dyn2022★ 93 cited

Discrete Boltzmann multi-scale modeling of non-equilibrium multiphase flows

Yanbiao Gan, Aiguo Xu, Huilin Lai +3

The aim of this paper is twofold: the first is to formulate and validate a multi-scale discrete Boltzmann method (DBM) based on density functional kinetic theory for thermal multip…

physics.flu-dyn2021

Effects of the initial perturbations on the Rayleigh-Taylor-Kelvin-Helmholtz instability system

Feng Chen, Aiguo Xu, Yudong Zhang +3

In the paper, the effects of initial perturbations on the Rayleigh-Taylor instability (RTI), Kelvin-Helmholtz instability (KHI), and the coupled Rayleigh-Taylor-Kelvin-Helmholtz in…

physics.plasm-ph2021★ 5 cited

Plasma Waves Accessibility Diagrams: A Tutorial to Include the Fluid and Kinetic Thermal Effects

Huasheng Xie, Haojie Ma, Yukun Bai

Although the accurate description of the wave propagation and absorption in plasmas requires complicated full wave solutions or kinetic simulations, the local dispersion analysis c…

cs.CL2021★ 5 cited

Bilingual Alignment Pre-Training for Zero-Shot Cross-Lingual Transfer

Ziqing Yang, Wentao Ma, Yiming Cui +3

Multilingual pre-trained models have achieved remarkable performance on cross-lingual transfer learning. Some multilingual models such as mBERT, have been pre-trained on unlabeled…

cs.CL2020★ 89 cited

CharBERT: Character-aware Pre-trained Language Model

Wentao Ma, Yiming Cui, Chenglei Si +3

Most pre-trained language models (PLMs) construct word representations at subword level with Byte-Pair Encoding (BPE) or its variations, by which OOV (out-of-vocab) words are almos…

physics.flu-dyn2020★ 39 cited

Multiple-relaxation-time discrete Boltzmann modeling of multicomponent mixture with nonequilibrium effects

Chuandong Lin, Kai H. Luo, Aiguo Xu +2

A multiple-relaxation-time discrete Boltzmann model (DBM) is proposed for multicomponent mixtures, where compressible, hydrodynamic, and thermodynamic nonequilibrium effects are ta…

quant-ph2018★ 33 cited

Quantum state engineering by nonlinear quantum interference

Liang Cui, Jie Su, Jiamin Li +3

Multi-photon quantum interference is the underlying principle for optical quantum information processing protocols. Indistinguishability is the key to quantum interference. Therefo…

cond-mat.soft2018★ 77 cited

Nonequilibrium and morphological characterizations of Kelvin-Helmholtz instability in compressible flows

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +3

We investigate the effects of viscosity and heat conduction on the onset and growth of Kelvin-Helmholtz instability (KHI) via an efficient discrete Boltzmann model. Technically, tw…

cond-mat.stat-mech2018★ 35 cited

Entropy production in thermal phase separation: a kinetic-theory approach

Yudong Zhang, Aiguo Xu, Guangcai Zhang +3

Entropy production during the process of thermal phase-separation of multiphase flows is investigated by means of a discrete Boltzmann kinetic model. The entropy production rate is…

math.DG2018★ 1 cited

Li-Yau multiplier set and optimal Li-Yau gradient estimate on hyperbolic spaces

Chengjie Yu, Feifei Zhao

In this paper, motivated by finding sharp Li-Yau type gradient estimate for positive solution of heat equations on complete Riemannian manifolds with negative Ricci curvature lower…

physics.flu-dyn2018★ 103 cited

Discrete Boltzmann trans-scale modeling of high-speed compressible flows

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +2

We present a general framework for constructing trans-scale \emph{discrete Boltzmann models} (DBMs) for high-speed compressible flows ranging from continuum to transition regime. T…

math.DG2017

Affine Self-similar solutions of the affine curve shortening flow I: The degenerate case

Chengjie Yu, Feifei Zhao

In this paper, we consider affine self-similar solutions for the affine curve shortening flow in the Euclidean plane. We obtain the equations of all affine self-similar solutions u…

physics.flu-dyn2017★ 13 cited

Three-dimensional discrete Boltzmann models for compressible flows in and out of equilibrium

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +1

We present a series of three-dimensional discrete Boltzmann (DB) models for compressible flows in and out of equilibrium. The key formulating technique is the construction of discr…

cond-mat.soft2015★ 159 cited

Discrete Boltzmann modeling of multiphase flows: hydrodynamic and thermodynamic non-equilibrium effects

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +1

A discrete Boltzmann model (DBM) is developed to investigate the hydrodynamic and thermodynamic non-equilibrium (TNE) effects in phase separation processes. The interparticle force…

cond-mat.soft2014

Lattice Boltzmann kinetic modeling and simulation of thermal liquid-vapor system

Yanbiao Gan, Aiguo Xu, Guangcai Zhang +3

We present a highly efficient lattice Boltzmann (LB) kinetic model for thermal liquid-vapor system. Three key components are as beow: (i) a discrete velocity model by Kataoka \emph…

astro-ph.GA2013★ 3 cited

Artificial Neural Network for search for metal poor galaxies

F. Shi, Y-Y. Liu, X. Kong +1

In order to find a fast and reliable method for selecting metal poor galaxies (MPGs), especially in large surveys and huge database, an Artificial Neural Network (ANN) method is ap…