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  • Open Access

    PROCEEDINGS

    Phase Field Crystal Simulation of Mechanical Properties and Grain Boundary Evolution of Complex Concentration Alloys

    Xiaoai Yi, Jia Li*, Qihong Fang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.010725

    Abstract The complex concentration alloys are considered to have excellent mechanical properties due to the combined effects of heterogeneous composition and microstructure. However, it is difficult for existing simulation methods to capture the significant modulation of mechanical properties by the formation and motion of grain boundaries of complex concentration alloys at the microsecond and nanometer scales. To address this, we utilize the phase field crystal model that combines molecular dynamics and traditional phase field advantages to systematically study real-time grain boundary formation and motion in complex concentration alloys [1]. Meanwhile, we investigated the compositional fluctuations of More >

  • Open Access

    PROCEEDINGS

    Machine Learning-Driven Rational Design and Cross-Scale Simulation in Multi-Principal Element Alloys

    Baobin Xie, Yang Chen, Weizheng Lu, Jia Li*, Qihong Fang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, 2025, DOI:10.32604/icces.2025.010608

    Abstract Multi-principal element alloys have aroused extensive attention due to their outstanding mechanical, physical, and chemical performances. To achieve performance-orientated design with high efficiency and low cost and further predict the deformation mechanism, new design approaches and cross-simulation methods need to be developed. Here, we propose i) the approach combining with high-throughput atomic simulations, mechanical models as well as machine learning, to efficiently search optimal composition and microstructure [1,2]; (ii) a multistage design framework integrating physical laws, mechanical models and machine learning, to solve the two key problems--the forward problem (composition to performance) and the inverse More >

  • Open Access

    ARTICLE

    Crude Extract of Ulva lactuca L., Spirulina platensis (Gomont) Geitler and Nostoc muscorum C. Agardh ex Bornet & Flahault for Mitigating Powdery Mildew and Improving Growth of Cucumber

    Ahmed Mahmoud Ismail1,*, Eman Said Elshewy2, Ayman Y. Ahmed3, Hossam M. Darrag4

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3023-3045, 2025, DOI:10.32604/phyton.2025.067444 - 29 October 2025

    Abstract Powdery mildew of cucumber (Cucumis sativus L.) is a destructive disease caused by Podosphaera xanthii (Castagne) U.Braun & Shishkoff. This study aimed to investigate the antifungal effect of extracts of Ulva lactuca, Spirulina platensis, and Nostoc muscorum against P. xanthii and to improve the physiological and morphological traits of cucumber under commercial greenhouse conditions. The chemical composition of the individual extracts from U. lactuca, S. platensis, and N. muscorum was analyzed utilizing High-performance Liquid Chromatography (HPLC) and Gas Chromatography/Mass spectrometry (GC/MS). Cucumber plants were sprayed twice with 5% of the crude extracts of U. lactuca, S. platensis, and N. muscorum and their mixture (U. lactuca, S. platensis, and N. muscorum).… More >

  • Open Access

    ARTICLE

    Short-Term Wind Power Prediction Based on Optimized VMD and LSTM

    Xinjian Li1, Yu Zhang1,2,*, Zewen Wang1, Zhenyun Song1

    Energy Engineering, Vol.122, No.11, pp. 4603-4619, 2025, DOI:10.32604/ee.2025.065799 - 27 October 2025

    Abstract Power prediction has been critical in large-scale wind power grid connections. However, traditional wind power prediction methods have long suffered from problems, for instance low prediction accuracy and poor reliability. For this purpose, a hybrid prediction model (VMD-LSTM-Attention) has been proposed, which integrates the variational modal decomposition (VMD), the long short-term memory (LSTM), and the attention mechanism (Attention), and has been optimized by improved dung beetle optimization algorithm (IDBO). Firstly, the algorithm’s performance has been significantly enhanced through the implementation of three key strategies, namely the elite group strategy of the Logistic-Tent map, the nonlinear… More >

  • Open Access

    REVIEW

    A Review of the Evolution of Multi-Objective Evolutionary Algorithms

    Thomas Hanne1,*, Mohammad Jahani Moghaddam2

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4203-4236, 2025, DOI:10.32604/cmc.2025.068087 - 23 October 2025

    Abstract Multi-Objective Evolutionary Algorithms (MOEAs) have significantly advanced the domain of Multi-Objective Optimization (MOO), facilitating solutions for complex problems with multiple conflicting objectives. This review explores the historical development of MOEAs, beginning with foundational concepts in multi-objective optimization, basic types of MOEAs, and the evolution of Pareto-based selection and niching methods. Further advancements, including decom-position-based approaches and hybrid algorithms, are discussed. Applications are analyzed in established domains such as engineering and economics, as well as in emerging fields like advanced analytics and machine learning. The significance of MOEAs in addressing real-world problems is emphasized, highlighting their More >

  • Open Access

    ARTICLE

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

    Anna Elisa Silva, Eduardo Thiago Formigari, João Pedro Mayer Camacho Araújo, Dagoberto de Oliveira Silva, Jürgen Andreaus, Eduardo Guilherme Cividini Neiva*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1899-1912, 2025, DOI:10.32604/jrm.2025.02025-0130 - 22 October 2025

    Abstract Here, we report a comprehensive study on the characterization of cotton biomass residue, its conversion into carbon-based materials via pyrolysis, and its application as an electrochemical sensor for ascorbic acid (AA). The compositions, morphologies, and structures of the resulting materials were investigated using XRD, FTIR, TGA, SEM, and EDS. Pyrolysis was carried out in an air atmosphere at different temperatures (300°C and 400°C) and durations (1, 60, and 240 min), leading to the transformation of lignocellulosic cotton residue into carbon-based materials embedded with inorganic nanoparticles, including carbonates, sulfates, chlorates, and phosphates of potassium, calcium, and… More > Graphic Abstract

    Cotton Residue Biomass-Based Electrochemical Sensors: The Relation of Composition and Performance

  • Open Access

    ARTICLE

    Shallow Water Waves with Surface Tension by Laplace–Adomian Decomposition

    Oswaldo González-Gaxiola1, Yakup Yildirim2,3,4, Luminita Moraru5,6, Anjan Biswas7,8,9,10,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2273-2287, 2025, DOI:10.32604/fdmp.2025.067959 - 30 September 2025

    Abstract This study presents a numerical investigation of shallow water wave dynamics with particular emphasis on the role of surface tension. In the absence of surface tension, shallow water waves are primarily driven by gravity and are well described by the classical Boussinesq equation, which incorporates fourth-order dispersion. Under this framework, solitary and shock waves arise through the balance of nonlinearity and gravity-induced dispersion, producing waveforms whose propagation speed, amplitude, and width depend largely on depth and initial disturbance. The resulting dynamics are comparatively smoother, with solitary waves maintaining coherent structures and shock waves displaying gradual… More > Graphic Abstract

    Shallow Water Waves with Surface Tension by Laplace–Adomian Decomposition

  • Open Access

    ARTICLE

    Species Number of Invasive Plants Negatively Regulates Carbon Contents, Enzyme Activities, and Bacterial Alpha Diversity in Soil

    Qi Chen1,2, Yizhuo Du1, Yingsheng Liu1, Yue Li1, Chuang Li1, Zhelun Xu1,3, Congyan Wang1,4,5,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2873-2891, 2025, DOI:10.32604/phyton.2025.065970 - 30 September 2025

    Abstract The leaves of multiple invasive plants can coexist and intermingle within the same environment. As species number of invasive plants increases, variations may occur in decomposition processes of invasive plants, soil nutrient contents, soil enzyme activities, and soil microbial community structure. Existing progress have predominantly focused on the ecological effects of one species of invasive plant compared to native species, with limited attention paid to the ecological effects of multiple invasive plants compared to one species of invasive plant. This study aimed to determine the differences in the effects of mono- and co-decomposition of four… More >

  • Open Access

    ARTICLE

    The Impact of Major Meteorological Factors in Tobacco Growing Areas on Key Chemical Constituents of Tobacco Leaves

    Guanhui Li1,2,#, Jiati Tang1,#, Qifang Zhang3, Guilin Ou1,3, Yingchao Lin1, Liping Chen4, Xiang Li4, Shengjiang Wu1, Zhu Ren1, Zeyu Zhao1,2, Xuekun Zhang2, Benbo Xu2,*, Xun Liu3, Kesu Wei1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2385-2398, 2025, DOI:10.32604/phyton.2025.068213 - 29 August 2025

    Abstract To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period, the contributions of meteorological factors to the chemical composition of flue-cured tobacco and related components were explored in this study. The flue-cured tobacco variety Y87 was used as the experimental material, and tobacco samples and meteorological data were collected from seven typical tobacco-growing areas in Guizhou Province. Using a random forest model and canonical correlation analysis, the impact and contribution of the monthly mean temperature, precipitation, and sunshine duration during the field… More >

  • Open Access

    ARTICLE

    Advanced Multi-Channel Echo Separation Techniques for High-Interference Automotive Radars

    Shih-Lin Lin*

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1365-1382, 2025, DOI:10.32604/cmc.2025.067764 - 29 August 2025

    Abstract This paper proposes an integrated multi-stage framework to enhance frequency modulated continuous wave (FMCW) automotive radar performance under high noise and interference. The four-stage pipeline is applied consecutively: (i) an improved independent component analysis (ICA) blindly separates the two-channel echoes, isolating target and interference components; (ii) a recursive least-squares (RLS) filter compensates amplitude- and phase-mismatches, restoring signal fidelity; (iii) variational mode decomposition (VMD) followed by the Hilbert-Huang Transform (HHT) extracts noise-free intrinsic mode functions (IMFs) and sharpens their time-frequency signatures; and (iv) HHT-based beat-frequency estimation reconstructs a clean echo and delivers accurate range information. Finally, More >

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