Keyuan Chen¹, Xingkao Zhang¹, Li Ma¹, Jueyi Ye¹, Qi Qiu¹, Haoxiang Zhang¹, Ju Rong^1,*, Yudong Sui^1,*, Xiaohua Yu^1,2, Jing Feng¹

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 685-700, 2025, DOI:10.32604/cmc.2025.060713 - 26 March 2025

Abstract The deep potential (DP) is an innovative approach based on deep learning that uses ab initio calculation data derived from density functional theory (DFT), to create high-accuracy potential functions for various materials. Platinum (Pt) is a rare metal with significant potential in energy and catalytic applications, However, there are challenges in accurately capturing its physical properties due to high experimental costs and the limitations of traditional empirical methods. This study employs deep learning methods to construct high-precision potential models for single-element systems of Pt and validates their predictive performance in complex environments. The newly developed DP… More >

Leonardo Di G. Sigalotti^*, Carlos A. Vargas

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2281-2337, 2025, DOI:10.32604/cmes.2025.060497 - 03 March 2025

Abstract The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through the liquid-vapor interface, is encountered in many natural and industrial processes as well as in numerous engineering applications. Therefore, understanding and predicting the dynamics of evaporating flows have become of primary importance. Recent efforts have been addressed using the method of Smoothed Particle Hydrodynamics (SPH), which has proven to be very efficient in correctly handling the intrinsic complexity introduced by the multiscale nature of the evaporation process. This paper aims to provide an overview of… More > Graphic Abstract

Djordje Spasojević^1,*, Sanja Janićević², Svetislav Mijatović¹, Bosiljka Tadić^3,4

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1021-1107, 2025, DOI:10.32604/cmes.2024.057884 - 27 January 2025

Abstract Disordered ferromagnets with a domain structure that exhibit a hysteresis loop when driven by the external magnetic field are essential materials for modern technological applications. Therefore, the understanding and potential for controlling the hysteresis phenomenon in these materials, especially concerning the disorder-induced critical behavior on the hysteresis loop, have attracted significant experimental, theoretical, and numerical research efforts. We review the challenges of the numerical modeling of physical phenomena behind the hysteresis loop critical behavior in disordered ferromagnetic systems related to the non-equilibrium stochastic dynamics of domain walls driven by external fields. Specifically, using the extended… More >

Nicolás Amigo^*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3665-3678, 2024, DOI:10.32604/cmc.2024.059895 - 19 December 2024

Abstract This study explores the mechanical behavior of single-crystal copper with silver inclusions, focusing on the effects of dendritic and spherical geometries using molecular dynamics simulations. Uniaxial tensile tests reveal that dendritic inclusions lead to an earlier onset of plasticity due to the presence of high-strain regions at the complex inclusion/matrix interfaces, whereas spherical inclusions exhibit delayed plasticity associated with their symmetric geometry and homogeneous strain distribution. During the plastic regime, the dislocation density is primarily influenced by the volume fraction of silver inclusions rather than their shape, with spherical inclusions showing the highest densities due… More >

Alexander Fedoseev^*, Mikhail Salnikov

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1679-1694, 2024, DOI:10.32604/fhmt.2024.056999 - 19 December 2024

Abstract In order to research the process of boiling occurring on a porous surface, a model of multiple blocks was developed. The mathematical basis of these blocks is the lattice Boltzmann method in combination with heat transfer equation. The reported complex allows one to obtain the boiling curves for various wall superheats and to find the optimal parameters of a porous heater in terms of heat transfer enhancement. The porous heater structure is specified as a skeleton of square metal heaters located in the lower part of the computational domain. The calculations were performed for the… More > Graphic Abstract

Lun Zhang¹, Zhongzheng Jiang^1,*, Weifang Chen¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012382

Abstract The study of boundary-layer transition and turbulence plays a crucial role in the development and design of high-speed aircrafts. Direct numerical simulation (DNS) is a numerical tool that enables the capture of flow phenomena across all scales, making it highly valuable for investigating the mechanism and process of transition and turbulence. In the DNS community, the prevailing approach involves directly resolving the Navier-Stokes (NS) equations. However, certain high-order effects lie beyond the capabilities of NS models when simulating compressible transition and turbulence under specific circumstances. To address this limitation, we have developed a DNS method… More >

Zifei Meng¹, Pengnan Sun^1,*, Yang Xu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011674

Abstract DNS simulations on incompressible flows with high Reynolds number using meshfree methods remain an enduring challenge to be addressed. In the present work, we attempt to use a high-order SPH scheme (TENO-SPH) to make DNS simulations on high Reynolds number flows. To investigate this, several spatial reconstructions are applied under the Riemann-ALE-SPH framework, and their performances are compared. Particularly, the accuracy of SPH is significantly enhanced by WENO and TENO reconstructions. For free surface flows, we implement a Lagrangian TENO-SPH to reproduce these flows at different Reynolds numbers. More importantly, to make DNS simulations, the More >

Jili Cai¹, Junyi Zhou¹, Hangyu Chen¹, Liang Huang¹, Wenming Jiang¹, Jie Liu¹, Zhongwei Li¹, Chao Cai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011946

Abstract Effectively obtaining tritium is one of the essential issues to realize commercial and controlled nuclear fusion [1]. Conventional lithium-containing ceramic tritium breeders with pebble bed configurations in fusion reactors have shown insurmountable structural drawbacks weakening tritium extraction, including inherently low packing fractions, extensive stress concentrations, and low thermal conductivity. Therefore, extensive efforts have been devoted to enhancing tritium extraction by improving the design of tritium breeders and addressing structural drawbacks [2-4]. In this study, porous block configurations were proposed to replace conventional pebble bed configurations for the ceramic tritium breeder. Utilizing fluid-solid coupled heat transfer… More >

Shaoqi Zheng¹, Zihao Yang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012200

Abstract This study proposes a novel method for predicting the microcrack propagation in composites based on coupling the local and non-local micromechanics. The special feature of this method is that it can take full advantages of both the continuum micromechanics as a local model and peridynamic micromechanics as a non-local model to achieve composite fracture simulation with a higher level of accuracy and efficiency. Based on the energy equivalence, we first establish the equivalent continuum micromechanics model with equivalent stiffness operators through peridynamic micromechanics model. These two models are then coupled into a closed equation system, More >

Zhenhua Jiang^1,*, Xi Deng^2,3, Xin Zhang¹, Chao Yan¹, Feng Xiao⁴, Jian Yu¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2183-2204, 2024, DOI:10.32604/fdmp.2024.053231 - 23 September 2024

Abstract Shock waves, characterized by abrupt changes in pressure, temperature, and density, play a significant role in various materials science processes involving fluids. These high-energy phenomena are utilized across multiple fields and applications to achieve unique material properties and facilitate advanced manufacturing techniques. Accurate simulations of these phenomena require numerical schemes that can represent shock waves without spurious oscillations and simultaneously capture acoustic waves for a wide range of wavelength scales. This work suggests a high-order discontinuous Galerkin (DG) method with a finite volume (FV) subcell limiting strategies to achieve better subcell resolution and lower numerical More >