Zhonglu Lin^1,2, Dongfang Liang², Yu Zhang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-9, 2023, DOI:10.32604/icces.2023.010442

Abstract Fish schools are capable of simultaneous linear acceleration. To reveal the underlying hydrodynamic mechanism, we numerically investigate how Reynolds number Re = 1000−2000, Strouhal number St = 0.2−0.7 and wavelength λ = 0.5−2 affects the mean net thrust of two side-by-side NACA0012 hydrofoils undulating in anti-phase. In total, 550 cases are simulated using immersed boundary method. The thrust is strengthened by wavelength and Strouhal number, yet only slightly by the Reynolds number. We apply the symbolic regression algorithm to formulate this relationship as a high-level summary. More >

Sheng Qian¹, Qi Tong^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010116

Abstract Applications such as aircrafts and electronic devices require the noise and vibration reduction without much extra burden, such as extra damping systems. High damping metallic materials that exhibit the ability to dissipate mechanical energy are potential candidates in these application via directly being part of the functional components, such as the frame materials. The energy damping in polycrystalline metals depends on the activities of defects such as dislocation and grain boundary. However, operating defects has the opposite effect on strength and damping capacity. In the quest for high damping metals, maintaining the level of strength is desirable in practice. In… More >

Danshi Liu¹, Jiadong Wang¹, Xuewei Mao¹, Jian Deng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09789

Abstract The coordinated motion by multiple swimmers is a fundamental component in fish school. Fish swimming in a certain formation (tandem, side by side, diamond and phalanx etc.) can gain substantial energetic benefits. However, the question whether the non-straight swimming behaviors such as milling structure in other collective patterns can also gain energetic benefits remains to be explored. Based on a series of simulations on two self-propelled swimmers, we provide a viewpoint for the energetic benefits of milling pattern in collective behaviors. The trajectory and velocity of both swimmers are controlled by a PID approach. First, we demonstrate that the influence… More >

Kun Cai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.09777

Abstract Rotary nanomotor, as the essential component of a dynamic nanomachine, can output rotation via its rotor. So far, several techniques e.g., electric-, nanofluid-, laser-, chemical-, and thermally-driven models, have been proposed to actuate a rotary nanomotor,. Among the techniques, the thermally-driven rotary nanomotor (TDRM) models are the simplest technique that does not require an accurate external field as into energy. The model says that the thermal vibration of the atoms in the nanomotor can transmitted into rotationally kinetic energy via a rotor. Cai et al. [1] discovered the TDRM when relaxing double-walled carbon nanotubes (CNTs) at an NVT ensemble. Soon… More >

Jian Wang^1,*, Yonggang Zheng¹, Hongwu Zhang¹, Hongfei Ye¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09761

Abstract Water is the most ubiquitous fluid in nature and widely exists in the micro/nanoconfinement of leafstalks, shale, bones, etc. The complex relation of the properties and behaviours of water to the temperature, pressure and confinement size enhances the difficulty in the accurate simulation, such as the supercooled state of pure water below the freezing point. As a powerful tool, molecular dynamics simulation is adequate for investigating the relevant properties and behaviours. However, accurately calculating the physical properties of liquid and supercooled water is quite challenging by molecular simulations owing to limited model parameters. Machine learning (ML) techniques and temperature-dependent parameters… More >

Wenyuan Chen¹, Tao Zhang², Yantao Yang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09754

Abstract Based on the moving-least-squares immersed boundary method, we proposed a new technique to improve the calculation of the volume force representing the body boundary. For boundary with simple geometry, we theoretically analyze the error between the desired volume force at boundary and the actual force applied by the original method. The ratio between the two forces is very close to a constant and exhibits a very narrow distribution. A spatially uniform coefficient is then introduced to correct the force and can be fixed by the least-square method over all boundary markers. Such method is explicit and non-iterative, and is easy… More >

Xiaofei Wang¹, Qi Tong^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09181

Abstract Mechanical failure due to lithium-ion diffusion is one of the main obstacles to fulfill the potential of the electrode materials. Various fracture patterns in different electrode structures are observed in practice, which may have a profound impact on the performance and the service life of electrodes during operation. However, the mechanisms are largely unclear and still lack systematic understanding. Here we propose a coupled chemo-mechanical model based on peridynamics [1] and use it to study the dynamic fracturepattern formation in electrode materials and solid electrolytes during lithiation/delithiation cycles. We found in hollow core-shell nanowires that geometric parameters such as the… More >

Zhongqing Zhang¹, Bo Wan^1,*, Guicui Fu¹, Yutai Su^2,*, Zhaoxi Wu³, Xiangfen Wang¹, Xu Long²

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 441-458, 2024, DOI:10.32604/cmes.2023.043616

Abstract Sintered silver nanoparticles (AgNPs) are widely used in high-power electronics due to their exceptional properties. However, the material reliability is significantly affected by various microscopic defects. In this work, the three primary micro-defect types at potential stress concentrations in sintered AgNPs are identified, categorized, and quantified. Molecular dynamics (MD) simulations are employed to observe the failure evolution of different microscopic defects. The dominant mechanisms responsible for this evolution are dislocation nucleation and dislocation motion. At the same time, this paper clarifies the quantitative relationship between the tensile strain amount and the failure mechanism transitions of the three defect types by… More >

Songmei Liu, Yuheng Wu, Hongmei Li, Dongli Cai, Huiling Liang, Changchun Ye, Shenggen He^*

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3267-3290, 2023, DOI:10.32604/phyton.2023.045453

Abstract

The consumption of cut roses (Rosa hybrida) has always ranked first in the world. However, it is vulnerable to rapid petal and leaf wilting due to leaf stomatal water loss, which seriously affects its ornamental quality and economic value. Stomatal movement, a key in plant physiological processes, is influenced by potassium and nitrate. Advancing comprehension of its physiological and molecular mechanism holds promise for preserving the freshness of cut roses. This study observed the impacts of different concentrations of KNO₃ vase treatments on stomatal opening and water loss in cut rose ‘Carola’ leaves, as well as their transcriptional responses to… More >

Andrew Omame^1,2,*, Mujahid Abbas^3,6, Dumitru Baleanu^4,5,6

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2973-3012, 2024, DOI:10.32604/cmes.2023.029681

Abstract A patient co-infected with COVID-19 and viral hepatitis B can be at more risk of severe complications than the one infected with a single infection. This study develops a comprehensive stochastic model to assess the epidemiological impact of vaccine booster doses on the co-dynamics of viral hepatitis B and COVID-19. The model is fitted to real COVID-19 data from Pakistan. The proposed model incorporates logistic growth and saturated incidence functions. Rigorous analyses using the tools of stochastic calculus, are performed to study appropriate conditions for the existence of unique global solutions, stationary distribution in the sense of ergodicity and disease… More >