Results 21 to 30 of about 698,297 (290)

Numerical investigation of bubbles coalescence in a shear flow with diffuse-interface model

Heliyon, 2018
In this article, we apply the diffuse-interface model [developed by Shah and Yuan (2011) [21]] for collision and coalescence of two bubbles in a linear shear flow.
Abdullah Shah, Sadia Saeed, Saher Akmal Khan   +2 more
doaj   +1 more source

Effect of the projector augmented wave potentials on the simulation of thermodynamic properties of vanadium

Matter and Radiation at Extremes, 2021
We report significant differences in high-pressure properties of vanadium at zero temperature and finite temperature when different projector augmented wave (PAW) potentials are used in simulations based on density functional theory. When a PAW potential
Tingting Zhang, Yuechao Wang, Jiawei Xian, Shuaichuang Wang, Jun Fang, Suqing Duan, Xingyu Gao, Haifeng Song, Haifeng Liu   +8 more
doaj   +1 more source

Predictive Modelling of Protest Event Signatures: Analyzing Temporal Dynamics and Digital Activism Discourse Across Global Movements

Journal of Social Computing
This research introduced a predictive modeling framework to analyze the temporal dynamics of social media discourse during three global movements: the Mahsa Amini Protests (2022), South African Unrest (2021), and the Black Lives Matter Movement (2020 ...
Amila Chethana Nanayakkara, B. T. G. Samantha Kumara, R. M. Kapila Tharanga Rathnayaka   +2 more
doaj   +1 more source

Comparing the integration of programming and computational thinking into Danish and Swedish elementary mathematics curriculum resources

LUMAT, 2023
Computational thinking has become part of the mathematics curriculum in several countries. This has led recently available teaching resources to explicitly integrate computational thinking (CT).
Raimundo Elicer, Andreas Lindenskov Tamborg, Kajsa Bråting, Cecilia Kilhamn   +3 more
doaj   +1 more source

Investigating the performance of single- and multichannel wireless receivers in generic-K fading channels [PDF]

Maejo International Journal of Science and Technology, 2011
By using versatile generic-K statistical model, a performance analysis of wireless system has been carried out through the composite fading channel scenarios.
Jyoteesh Malhotra
doaj  

Linear analysis of Atwood number effects on shear instability in the elastic–plastic solids

Scientific Reports, 2021
The evolution of shear instability between elastic–plastic solid and ideal fluid which is concerned in oblique impact is studied by developing an approximate linear theoretical model.
Xi Wang, Xiao-Mian Hu, Sheng-Tao Wang, Hao Pan, Jian-Wei Yin   +4 more
doaj   +1 more source

Computational Triangulation in Mathematics Teacher Education

Computation, 2023
The paper is written to demonstrate the applicability of the notion of triangulation typically used in social sciences research to computationally enhance the mathematics education of future K-12 teachers. The paper starts with the so-called Brain Teaser
Sergei Abramovich
doaj   +1 more source

Hydrodynamic Kelvin–Helmholtz instability on metallic surface

Scientific Reports, 2023
Kelvin–Helmholtz instability on metallic surface is relevant to intense oblique impact in many physical processes such as explosive welding, Inertial Confinement Fusion and planetary impact events.
Xi Wang, Xiao-Mian Hu, Sheng-Tao Wang, Hao Pan, Jian-Wei Yin   +4 more
doaj   +1 more source

Second law analysis for nonlinear convective flow of a reactive couple stress fluid through a vertical channel

Heliyon, 2018
The present article investigates the entropy generation rate in the nonlinear convective flow of a reactive couple stress liquid through a channel filled with saturated materials and subjected to convective cooling.
Samuel O. Adesanya, H.A. Ogunseye, R.S. Lebelo, K.C. Moloi, O.G. Adeyemi   +4 more
doaj   +1 more source

Deep-learning potential method to simulate shear viscosity of liquid aluminum at high temperature and high pressure by molecular dynamics

AIP Advances, 2021
The shear viscosity of matter and efficient simulating methods in a wide range of temperatures and densities are desirable. In this study, we present the deep-learning many-body potential (the deep potential) method to reduce the computational cost of ...
Yuqing Cheng, Han Wang, Shuaichuang Wang, Xingyu Gao, Qiong Li, Jun Fang, Hongzhou Song, Weidong Chu, Gongmu Zhang, Haifeng Song, Haifeng Liu   +10 more
doaj   +1 more source