Miah A. Robinson, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.7, pp. 615-632, 2025, DOI:10.32604/jai.2025.073535 - 01 December 2025

Abstract Ensuring the safety of Artificial Intelligence (AI) is essential for providing dependable services, especially in various sectors such as the military, education, healthcare, and automotive industries. A highly effective method to boost the precision and performance of an AI agent involves multi-configuration training, followed by thorough evaluation in a specific setting to gauge performance outcomes. This research thoroughly investigates the design of three AI agents, each configured with a different number of hidden units. The first agent is equipped with 128 hidden units, the second with 256, and the third with 512, all utilizing the… More >

Xiao Li^*, Junxiang Liu, Weinan Fan, Shiying Xu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012284

Abstract Flooding is one of the most common types of natural hazards leading to wide-spread disturbances and damages to human communities and natural environment across the world. Flood forecasting is an effective means to provide timely hazard information to relevant government decision-makers and practitioners as well as those residents at risk, which plays an important role in flood risk reduction. A complete flood forecasting system normally includes at least two components, that is precipitation predictions and a hydrological or hydraulic model for flooding processes simulation. However, the current flood forecasting especially for urban floods face obvious… More >

Dan Xu^1,2, Chuanfu Luo^1,2,3,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2807-2818, 2025, DOI:10.32604/cmc.2025.069471 - 23 September 2025

Abstract The crystallization behavior of polymers is significantly influenced by molecular chain length and the dispersion of varying chain lengths. The complexity of studying crystallization arises from the dispersity of polymer materials and the typically slow cooling rates. Recent advancements in fast cooling techniques have rendered the investigation of polymer crystallization at varying cooling rates an attractive area of research; however, a systematic quantitative framework for this process is still lacking. We employ a coarse-grained model for polyvinyl alcohol (CG-PVA) in molecular dynamics simulations to study the crystallization of linear polymers with varying chain lengths under… More >

Qinghua Qin^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1-39, 2025, DOI:10.32604/cmc.2025.067293 - 29 August 2025

Abstract Carbon nanotubes (CNTs), black phosphorus nanotubes (BPNTs), and graphene derivatives exhibit significant promise for applications in nano-electromechanical systems (NEMS), energy storage, and sensing technologies due to their exceptional mechanical, electrical, and thermal properties. This review summarizes recent advances in understanding the dynamic behaviors of these nanomaterials, with a particular focus on insights gained from molecular dynamics (MD) simulations. Key areas discussed include the oscillatory and rotational dynamics of double-walled CNTs, fabrication and stability challenges associated with BPNTs, and the emerging potential of graphyne nanotubes (GNTs). The review also outlines design strategies for enhancing nanodevice performance More >

Sergio Cassese¹, Riccardo Guida^2,3,*, Daniele Trincone¹, Stefano Mungiguerra¹, Raffaele Savino¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1299-1337, 2025, DOI:10.32604/fdmp.2025.065605 - 30 June 2025

Abstract Robust numerical tools are essential for enabling the use of hybrid rocket engines (HREs) in future space applications. In this context, Computational Fluid Dynamics (CFD) transient simulations can be employed to analyse and predict relevant fluid dynamics phenomena within the thrust chamber of small-scale HREs. This work applies such techniques to investigate two unexpected behaviours observed in a 10 N-class hydrogen peroxide-based hybrid thruster: an uneven regression rate during High-Density Polyethylene (HDPE) and Acrylonitrile Butadiene Styrene (ABS) fuel tests, and non-negligible axial consumption in the ABS test case. The present study seeks to identify their… More >

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