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  • Open Access

    ARTICLE

    First-Principles Study on the Mechanical and Thermodynamic Properties of (NbZrHfTi)C High-Entropy Ceramics

    Yonggang Tong1,*, Kai Yang1, Pengfei Li1, Yongle Hu1, Xiubing Liang2,*, Jian Liu3, Yejun Li4, Jingzhong Fang1

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-15, 2026, DOI:10.32604/cmc.2025.071890 - 10 November 2025

    Abstract (NbZrHfTi)C high-entropy ceramics, as an emerging class of ultra-high-temperature materials, have garnered significant interest due to their unique multi-principal-element crystal structure and exceptional high-temperature properties. This study systematically investigates the mechanical properties of (NbZrHfTi)C high-entropy ceramics by employing first-principles density functional theory, combined with the Debye-Grüneisen model, to explore the variations in their thermophysical properties with temperature (0–2000 K) and pressure (0–30 GPa). Thermodynamically, the calculated mixing enthalpy and Gibbs free energy confirm the feasibility of forming a stable single-phase solid solution in (NbZrHfTi)C. The calculated results of the elastic stiffness constant indicate that the… More >

  • Open Access

    PROCEEDINGS

    Simulation of Irradiation Properties and Damage Evolution of High Entropy Alloys

    Shuo Wang, Yang Chen, 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.2025.010700

    Abstract High entropy alloys (HEA) are considered as the candidate materials for the next generation of nuclear systems due to the excellent high temperature properties and radiation resistance. However, for the lack of atomic lattice distortion information from the micromechanical description, the existing simulation methods are difficult to capture the microstructure and damage evolution of the HEA at submicron scale. To address this, we develop the random field theory informed discrete dislocation dynamics simulations based on the results of high-resolution transmission electron microscopy to systematically clarify the role of heterogeneous lattice strain on the complex interactions… More >

  • Open Access

    ARTICLE

    Thermodynamic Modeling of the Ti-Hf-Zr-Nb-Ta Refractory High Entropy Alloy and Its Application in Analyzing Phase Stability

    Jian Ding1, Jinghan Gao1, Enkuan Zhang1, Ying Tang2,*, Lijun Zhang3,*, Xingchuan Xia1

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 539-556, 2025, DOI:10.32604/cmc.2025.067266 - 29 August 2025

    Abstract Ti-Hf-Zr-Nb-Ta refractory high-entropy alloys (RHEAs) exhibiting a dual-phase structure resulting from martensitic transformation offer significant ductility enhancement, but their design requires precise control of the phase stability between body-centred cubic (BCC) and hexagonal close-packed (HCP) phases. This study establishes a comprehensive thermodynamic database for the Ti-Hf-Zr-Nb-Ta system using the 3rd-generation Calculation of Phase Diagrams (CALPHAD) model. The reliability of the database is validated by the strong agreement between the calculated thermodynamic properties and phase equilibria and the experimental data for pure element, as well as for binary and ternary systems. Utilizing this database, the phase… More >

  • Open Access

    ARTICLE

    A Novel Evidential Reasoning Rule with Causal Relationships between Evidence

    Shanshan Liu1, Liang Chang1,*, Guanyu Hu1,2, Shiyu Li1

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1113-1134, 2025, DOI:10.32604/cmc.2025.067240 - 29 August 2025

    Abstract The evidential reasoning (ER) rule framework has been widely applied in multi-attribute decision analysis and system assessment to manage uncertainty. However, traditional ER implementations rely on two critical limitations: 1) unrealistic assumptions of complete evidence independence, and 2) a lack of mechanisms to differentiate causal relationships from spurious correlations. Existing similarity-based approaches often misinterpret interdependent evidence, leading to unreliable decision outcomes. To address these gaps, this study proposes a causality-enhanced ER rule (CER-e) framework with three key methodological innovations: 1) a multidimensional causal representation of evidence to capture dependency structures; 2) probabilistic quantification of causal… More >

  • Open Access

    ARTICLE

    Evaluating Shannon Entropy-Weighted Bivariate Models and Logistic Regression for Landslide Susceptibility Mapping in Jelapang, Perak, Malaysia

    Nurul A. Asram1, Eran S. S. Md Sadek2,*

    Revue Internationale de Géomatique, Vol.34, pp. 619-637, 2025, DOI:10.32604/rig.2025.065667 - 06 August 2025

    Abstract Landslides are a frequent geomorphological hazard in tropical regions, particularly where steep terrain and high precipitation coincide. This study evaluates landslide susceptibility in the Jelapang area of Perak, Malaysia, using Shannon Entropy-weighted bivariate models (i.e., Frequency Ratio, Information Value, and Weight of Evidence), in comparison with Logistic Regression. Seven conditioning factors were selected based on their geomorphological relevance and tested for multicollinearity: slope gradient, slope aspect, curvature, vegetation cover, lineament density, terrain ruggedness index, and flow accumulation. Each model generated susceptibility maps, which were validated using Receiver Operating Characteristic curves and Area Under the Curve… More >

  • Open Access

    ARTICLE

    Multi-Kernel Bandwidth Based Maximum Correntropy Extended Kalman Filter for GPS Navigation

    Amita Biswal, Dah-Jing Jwo*

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 927-944, 2025, DOI:10.32604/cmes.2025.067299 - 31 July 2025

    Abstract The extended Kalman filter (EKF) is extensively applied in integrated navigation systems that combine the global navigation satellite system (GNSS) and strap-down inertial navigation system (SINS). However, the performance of the EKF can be severely impacted by non-Gaussian noise and measurement noise uncertainties, making it difficult to achieve optimal GNSS/INS integration. Dealing with non-Gaussian noise remains a significant challenge in filter development today. Therefore, the maximum correntropy criterion (MCC) is utilized in EKFs to manage heavy-tailed measurement noise. However, its capability to handle non-Gaussian process noise and unknown disturbances remains largely unexplored. In this paper,… More >

  • Open Access

    ARTICLE

    Boiling Dynamics and Entropy Generation in Inclined Tubular Systems: Analysis and Optimization

    Hao Tang1,2,3, Jianchang Yang1,2,3, Yunxin Zhou1,2,3, Jianxin Xu1,2,3,*, Hua Wang1,2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1571-1600, 2025, DOI:10.32604/fdmp.2025.063741 - 31 July 2025

    Abstract This research explores the characteristics of boiling in inclined pipes, a domain of great importance in engineering. Employing an experimental visualization technique, the boiling dynamics of deionized water are examined at varying inclination angles, paying special attention to the emerging flow patterns. The findings demonstrate that the inclination angle significantly impacts flow pattern transitions within the 0° to 90° range. As the heat flux rises, bubbles form in the liquid. The liquid’s inertia extends the bubble-wall contact time, thereby delaying the onset of bulk bubble flow. Beyond a 90° inclination, however, the patterning behavior is… More > Graphic Abstract

    Boiling Dynamics and Entropy Generation in Inclined Tubular Systems: Analysis and Optimization

  • Open Access

    ARTICLE

    Entropy Production and Energy Loss in Supercritical CO2 Centrifugal Compressor

    Senchun Miao1,*, Wenkai Hu1, Jiangbo Wu1, Zhengjing Shen1, Xiaoze Du1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1711-1735, 2025, DOI:10.32604/fdmp.2025.062239 - 31 July 2025

    Abstract In Brayton cycle energy storage systems powered by supercritical carbon dioxide (sCO2), compressors are among the most critical components. Understanding their internal flow loss characteristics is, therefore, essential for enhancing the performance of such systems. This study examines the main sCO2 compressor from Sandia Laboratory, utilizing entropy production theory to elucidate the sources and distribution of energy losses both across the entire machine and within its key flow components. The findings reveal that turbulent viscous dissipation is the predominant contributor to total entropy production. Interestingly, while the relative importance of the entropy produced by various sources More >

  • Open Access

    ARTICLE

    Investigation of TWIP/TRIP Effects in the CrCoNiFe System Using a High-Throughput CALPHAD Approach

    Jize Zhang1, T. P. C. Klaver2, Songge Yang1, Brajendra Mishra1, Yu Zhong1,*

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4299-4311, 2025, DOI:10.32604/cmc.2025.067793 - 30 July 2025

    Abstract Designing high-performance high-entropy alloys (HEAs) with transformation-induced plasticity (TRIP) or twinning-induced plasticity (TWIP) effects requires precise control over stacking fault energy (SFE) and phase stability. However, the vast complexity of multicomponent systems poses a major challenge for identifying promising candidates through conventional experimental or computational methods. A high-throughput CALPHAD framework is developed to identify compositions with potential TWIP/TRIP behaviors in the Cr-Co-Ni and Cr-Co-Ni-Fe systems through systematic screening of stacking fault energy (SFE), FCC phase stability, and FCC-to-HCP transition temperatures (T0). The approach combines TC-Python automation with parallel Gibbs energy calculations across hundreds of thousands of… More >

  • Open Access

    ARTICLE

    A New Quantitative Entropic Method for Exploring the Urban Sprawl Mechanism: Taking Beijing as an Example

    Zhensen Wei1, Penghui Jiang1,*, Zhen Chen2

    Revue Internationale de Géomatique, Vol.34, pp. 461-485, 2025, DOI:10.32604/rig.2025.065814 - 29 July 2025

    Abstract Urban sprawl affects the sustainable development of the world’s economy and society. Confirming urban sprawl trends and proposing countermeasures have received significant attention. Cities are self-organizing systems with dissipative attributes, and city development is accompanied by urban entropy changes. Urban entropy change reveals the essence of urban sprawl; thus, it can be used to measure urban sprawl and better understand its phenomena. However, the literature on entropy change in urban sprawl research is limited to qualitative descriptions, and no convenient or effective quantitative metrics exist. This study bridges entropy changes and urban form metrics, analyzing… More >

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