H. J. Hou^a,*, J. X. Bian^a, K. J. Liu^b, W. X. Chen^a, X. W. Lu^a, S. R. Zhang^c

Chalcogenide Letters, Vol.22, No.7, pp. 579-591, 2025, DOI:10.15251/CL.2025.227.579

Abstract Utilizing first-principles method, the structural and anisotropic characteristics of BaGa₄S₇ has been meticulously investigated. The determined lattice parameters and elastic moduli exhibit a high degree of correlation with previously documented data. Based on its mechanical properties, BaGa₄S₇ demonstrates ductility and anisotropy. The anisotropic properties can be examined through a range of metrics. More >

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

Chalcogenide Letters, Vol.22, No.10, pp. 917-927, 2025, DOI:10.15251/CL.2025.2210.917

Abstract The material AgAlSe₂, which adopts a chalcopyrite crystal structure, has attracted significant attention owing to its promising functional properties. To further explore its characteristics, theoretical method was conducted to explore its elastic behavior, electronic structure, dynamic stability, and thermodynamic features. The lattice parameters and elastic constants obtained through simulation agrees well with the reported data. Additionally, the mechanical stability of AgAlSe₂ was assessed through its elastic constants, confirming its structural integrity. Electronic property analysis reveals that AgAlSe₂ exhibits semiconducting behavior, featuring a direct band gap of approximately 1.1377 eV. More >

Mudasir Ali¹, Muhammad Faheem Mushtaq², Urooj Akram², Nagwan Abdel Samee^3,*, Mona M. Jamjoom⁴, Imran Ashraf^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1863-1901, 2025, DOI:10.32604/cmes.2025.070389 - 26 November 2025

Abstract Differentiating between regular and abnormal noises in machine-generated sounds is a crucial but difficult problem. For accurate audio signal classification, suitable and efficient techniques are needed, particularly machine learning approaches for automated classification. Due to the dynamic and diverse representative characteristics of audio data, the probability of achieving high classification accuracy is relatively low and requires further research efforts. This study proposes an ensemble model based on the LeNet and hierarchical attention mechanism (HAM) models with MFCC features to enhance the models’ capacity to handle bias. Additionally, CNNs, bidirectional LSTM (BiLSTM), CRNN, LSTM, capsule network More >

Ksenia Anikeeva^*, Ruslan Safin

Journal of Renewable Materials, Vol.13, No.11, pp. 2235-2252, 2025, DOI:10.32604/jrm.2025.02025-0128 - 24 November 2025

Abstract The use of wood-polymer composites (WPC) based on a polymer matrix and wood filler is a modern, environmentally friendly direction in material science. However, untreated wood filler exhibits poor adhesion to hydrophobic polymers due to its hydrophilic lignocellulose fibers. To address this, ozone treatment is employed to enhance compatibility, reduce water absorption, and regulate biodegradation rates. This study investigates the hypothesis that ozone modification of wood filler improves adhesion to thermoplastic starch, thereby enhancing the physico-mechanical properties and controlled biodegradation of WPCs under compost conditions. A comprehensive analysis was conducted on composites containing untreated and… More >

Ilze Irbe^1,*, Laura Andze¹, Inese Filipova^1,2

Journal of Renewable Materials, Vol.13, No.11, pp. 2139-2154, 2025, DOI:10.32604/jrm.2025.02025-0107 - 24 November 2025

Abstract Growing environmental concerns and the need for sustainable alternatives to synthetic materials have led to increased interest in bio-based composites. This study investigates the development and characterization of sustainable egg packaging waste (EPW) biocomposites derived from recycled wood fibers and fungal mycelium filaments as a natural binder. Three formulations were prepared using EPW as the primary substrate, with and without the addition of hemp shives and sawdust as co-substrates. The composites were evaluated for granulometry, density, mechanical strength, hygroscopic behavior, thermal conductivity, and fire performance using cone calorimetry. Biocomposites, composed exclusively of egg packaging waste,… More >

Qi Feng^1,2, Weijie Hu¹, Lu Liu^3,*, Junhui Luo⁴

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1589-1605, 2025, DOI:10.32604/sdhm.2025.072955 - 17 November 2025

Abstract Ultra-high performance fiber-reinforced concrete (UHPFRC) has received extensive attention from scholars and engineers due to its excellent mechanical properties and durability. However, there is a mutually restrictive relationship between the workability and mechanical properties of UHPFRC. Specifically, the addition of fibers will affect the workability of fresh UHPFRC, and the workability of fresh UHPFRC will also affect the dispersion and arrangement of fibers, thus significantly influencing the mechanical properties of hardened UHPFRC. This paper first analyzes the research status of UHPFRC and the relationship between its workability and mechanical properties. Subsequently, it outlines the test… More >

Dongyu Teng^1,2,*, Hao Tang^1,3,*, Peng He^1,2, Zhen Hao^1,2

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1717-1731, 2025, DOI:10.32604/sdhm.2025.069751 - 17 November 2025

Abstract In order to study the axial compression characteristics of brick masonry historical buildings, and to better protect and repair traditional mortar-brick masonry historical buildings, axial compression tests were carried out on three kinds of restored mortar (pure mud mortar, pure mortar, and mud mortar) brick masonry with restored mortar brick masonry as the object of study. The damage modes, axial compression chemical indexes (compressive strength and elastic modulus), load-displacement curves and stress-strain curves of the three kinds of restored mortar brick masonry were obtained. The experimental results show that the compressive strength of mud mortar… More >

Yidong Xu¹, Weijie Zhuge^1,2, Jialei Wang¹, Xiaopeng Yu^3,*, Kan Wu⁴

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1507-1527, 2025, DOI:10.32604/sdhm.2025.069021 - 17 November 2025

Abstract The performance of concrete can be affected by many factors, including the material composition, environmental conditions, and construction methods, and it is challenging to predict the performance evolution accurately. The rise of artificial intelligence provides a way to meet the above challenges. This article elaborates on research overview of artificial neural network (ANN) and its prediction for concrete strength, deformation, and durability. The focus is on the comparative analysis of the prediction accuracy for different types of neural networks. Numerous studies have shown that the prediction accuracy of ANN can meet the standards of the More >

Qian Li^*, Jiali Zhou, Yan Li^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.012234

Abstract Plant fibres are emerging as sustainable composite reinforcements. Compared to synthetic fibres, the hierarchical and twisted structure of plant fibres may produce microfibril angle (MFA) reorientation and untwisting time-varying behaviors after loading and consequently decide the mechanical response of plant fibre reinforced composites (PFRCs) in macro-scale. Existing theories, assuming homogeneous fibres, cannot accurately describe the multi-scale coupling nonlinear deformations of PFRCs. Based on this, a multi-scale analysis method on the nonlinear tensile responses of flax fibre reinforced composites (FFRCs) was proposed, focusing on the effect of the evolution of MFA in micro-scale and twist angle… More >

Xiaoxiao Li, Xiujiang Shi^*, Yusheng Jian, Yaqi Yang, Bailing Guan, Zehong Cai

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011099

Abstract Based on COMSOL simulation software, the planar Gaussian heat source model was used to simulate and analyze the surface reinforced nickel-based coating on H13 steel, and the optimal process parameters were obtained. Secondly, TiC reinforced nickel base coating was prepared in situ on H13 steel surface by laser cladding technology. The morphology, phase composition, microhardness and friction and wear properties of matrix, single coating and gradient coating were compared by scanning electron microscopy, X-ray diffractometer, microhardness tester and universal friction and wear machine. Finally, the bionic gradient TiC reinforced nickel base coating was prepared on… More >