Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

Yuntian Wang^1,2, Taohua Liang^1,2, Yuan Zhou^1,2, Weimei Shi^1,2, Lijuan Huang^1,2, Yuzhu Guo^3,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-26, 2026, DOI:10.32604/cmc.2025.071624 - 09 December 2025

Abstract This investigation utilizes non-equilibrium molecular dynamics (NEMD) simulations to explore shock-induced spallation in single-crystal tantalum across shock velocities of 0.75–4 km/s and initial temperatures from 300 to 2000 K. Two spallation modes emerge: classical spallation for shock velocity below 1.5 km/s, with solid-state reversible Body-Centered Cubic (BCC) to Face-Centered Cubic (FCC) or Hexagonal Close-Packed (HCP) phase transformations and discrete void nucleation-coalescence; micro-spallation for shock velocity above 3.0 km/s, featuring complete shock-induced melting and fragmentation, with a transitional regime (2.0–2.5 km/s) of partial melting. Spall strength decreases monotonically with temperature due to thermal softening. Elevated temperatures More >

Manuel J. C. S. Reis^1,*, Nishu Gupta²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4225-4243, 2025, DOI:10.32604/cmes.2025.073366 - 23 December 2025

Abstract The forthcoming sixth generation (6G) of mobile communication networks is envisioned to be AI-native, supporting intelligent services and pervasive computing at unprecedented scale. Among the key paradigms enabling this vision, Federated Learning (FL) has gained prominence as a distributed machine learning framework that allows multiple devices to collaboratively train models without sharing raw data, thereby preserving privacy and reducing the need for centralized storage. This capability is particularly attractive for vision-based applications, where image and video data are both sensitive and bandwidth-intensive. However, the integration of FL with 6G networks presents unique challenges, including communication… More >

Michał Guminiak¹, Marcin Kamiński^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3133-3163, 2025, DOI:10.32604/cmes.2025.071887 - 23 December 2025

Abstract The analysis of the dynamics of surface girders is of great importance in the design of engineering structures such as steel welded bridge plane girders or concrete plate-column structures. This work is an extension of the classical deterministic problem of free vibrations of thin (Kirchhoff) plates. The main aim of this work is the study of stochastic eigenvibrations of thin (Kirchhoff) elastic plates resting on internal continuous and column supports by the Boundary Element Method (BEM). This work is a continuation of previous research related to the random approach in plate analysis using the BEM.… More >

O. Mekhbi^a, K. Kamli^b,*, Z. Hadef^b, O. Kamli^c, M. Bouatrous^d, N. Houaidji^e, L. Zighed^h

Chalcogenide Letters, Vol.22, No.4, pp. 331-339, 2025, DOI:10.15251/CL.2025.224.331

Abstract This work presents a hybrid study that employs Ultrasonic Spray method for the deposition of SnS absorber films and SCAPS-1D simulation method for the analysis of various solar cell topologies. Different deposition times have been employed to optimize structural, optics, and electrical properties. To evaluate their potential as absorber layers for solar cells, the films were analyzed by using X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and tested for electrical performance. Complementary numerical simulations were carried out with SCAPS-1D in modeling ZnO:Al/i-ZnO/SnS₂/SnS solar cell structures. Results showed that optimized SnS thickness of 2.5 µm and high carrier More >

T. J. Li^a,*, Y. Yue^a, L. P. Qu^a, H. J. Hou^b, S. H. Fan^b, H. L. Guo^c

Chalcogenide Letters, Vol.22, No.6, pp. 529-540, 2025, DOI:10.15251/CL.2025.226.529

Abstract This work uses the theoretical method to calculates and analyzes a series of properties of the crystal such as electronic structure, optical properties, and elastic constants. The results show that the optimized structural parameters of the CuInSe₂ is close to the experimental values. The analysis of various parameters of optical properties shows that the crystal is transparent for incident light with energy greater than 25 eV. Furthermore, the calculation of elastic constants reveals that CuInSe₂ exhibits significant anisotropy and possesses excellent ductility. More >

Fan He^1,2,3,*, Xu He⁴, Jie Wang¹, Yu Hu⁵

Chalcogenide Letters, Vol.22, No.11, pp. 939-949, 2025, DOI:10.15251/CL.2025.2211.939

Abstract Selenium (Se) has garnered significant attention as a promising wide-bandgap material for photovoltaic applications. However, progress in enhancing the efficiency of Se solar cells remains limited. This study addresses this challenge by targeting the critical emitter/Se absorber interface for performance improvement. Through numerical simulations, we systematically investigate the impact of key interface properties—specifically, band alignment and defect characteristics—on device performance. Our results demonstrate that a slight positive conduction band offset (CBO) effectively strengthens absorber band bending and reduces hole concentration at the Se surface. Furthermore, minimizing interface defect density or incorporating donor-type defects significantly alleviates More >

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 >

Bo Wang¹, Fuyang Wu², Zifeng Chen², Libin Dai¹, Yifan Dong¹, Xiaotao Gao³, Zongfa Li^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2701-2719, 2025, DOI:10.32604/fdmp.2025.067298 - 01 December 2025

Abstract Tight gas reservoirs are often characterized by pronounced heterogeneity and poor continuity, resulting in wide variability in production enhancement and net present value (NPV) for different geological parameter combinations (see e.g., the Ordos Basin). The conditions governing geological adaptability remain insufficiently defined. To address these challenges, this study integrates large-volume hydraulic fracturing, numerical production simulation, and economic evaluation to elucidate the mechanisms by which large-scale fracturing enhances fracture parameters in tight gas formations. The analysis reveals that, for identical proppant and fluid volumes, increasing the fracturing injection rate leads to longer and taller fractures. Over… More >

Ashna Abduljabbar Haji^*, Ranj S. Abdullah^*

Energy Engineering, Vol.122, No.12, pp. 5111-5127, 2025, DOI:10.32604/ee.2025.073367 - 27 November 2025

Abstract The hybrid photovoltaic solar-assisted heat pump are primarily used to generate electricity and provide thermal energy for heating applications. This study investigates the performance enhancement of a hybrid Photovoltaic Thermal Solar-Assisted Heat Pump (PV/T-SAHP) system integrated with a solar tracking mechanism. The system was simulated using TRNSYS to evaluate its monthly electrical output and coefficient of performance (COP) of the heat pump system over a year. The results showed a significant improvement in energy generation and efficiency compared to a conventional PV/T system without SAHP system. Overall, the solar tracking configuration of the PV/T-SAHP generated… More > Graphic Abstract