Showing 701 - 720 results of 58,685 for search '(structure OR (structures OR structural)) modeling', query time: 0.52s Refine Results
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    Modeling soil as a living system: Feedback between microbial activity and spatial structure by Riz Fernando Noronha, Kim Sneppen, Kunihiko Kaneko

    Published 2025-05-01
    “…We propose a cellular automaton model for self-organizing soil structure, where soil aggregates serve as food for microbial species. …”
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  6. 706

    Machine learning based risk analysis and predictive modeling of structure fire related casualties by Andres Schmidt, Eric Gemmil, Russ Hoskins

    Published 2025-06-01
    “…The network model achieves a prediction accuracy of 92.5 % for the classification of structural fire-related casualty severities. …”
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    THERMODYNAMIC MODELING OF THE SURFACE LAYER STRUCTURE ON INCONEL 600 OXIDIZED IN A CONTROLLED ATMOSPHERE by Abdallah Haouam, Kamel Dawi, Bachir Merzoug

    Published 2012-03-01
    “…Along with this experimental study, a simulation of thermodynamic behavior of the material in the same oxidation conditions was carried out using the Thermo-Calc code. The thermodynamic modeling is able to predict the phase nature and its distribution in the structure of the surface layer resulting from the corrosion of the material in thermodynamic equilibrium in the absence of mechanical stress. …”
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    Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

    Published 2025-02-01
    “…By incorporating proteoforms in the analysis, the model accounts for the structural complexity within proteomes, making predictions biologically relevant. …”
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    Structure-based modeling of artificial leather used in sports with non-symmetric fiber distribution by Tonghuan QU, Akihiro MATSUDA

    Published 2024-12-01
    “…Therefore, we propose a novel anisotropic hyperelasticity constitutive model which describes the mechanical behavior of fiber-reinforced material by using a generalized structure tensor in the form of separated in-plane and out-of-plane fiber distribution and by applying the sine-skewed von Mises distribution function as the in-plane fiber distribution function. …”
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  12. 712

    Modeling the impacts of heavy charged particles on electrical characteristics of n-MOSFET device structure by I. Yu. Lovshenko, V. R. Stempitsky, V. T. Shandarovich

    Published 2020-11-01
    “…The paper delivers the results of modeling the impacts of heavy charged particles with a magnitude of linear energy transfer equal to 1.81, 10.1, 18.8, 55.0 MeV·cm2/mg, corresponding to nitrogen ions 15N+4 with an energy E = 1,87 MeV; argon 40Ar+12 with an energy E = 372 MeV; ferrum 56Fe+15 with an energy E = 523 MeV; xenon 131Xe+35 with an energy E = 1217 MeV, on electrical characteristics of n-MOSFET device structure. …”
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    High-throughput atomistic modeling of nanocrystalline structure and mechanics of calcium aluminate silicate hydrate by Yunjian Li, Cheng Chen, Zhenning Li, Zongjin Li

    Published 2025-06-01
    “…Here, we present a high-throughput atomistic modeling framework to systematically investigate the structural and mechanical properties of C-A-S-H across a broad range of Ca/Si (1.3–1.9) and Al/Si (0–0.15) ratios. …”
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    Innovative method of active thermoacoustic testing for aircraft composite structures by I. A. Davydov

    Published 2025-07-01
    “…The methodology is grounded in mathematical models of heat transfer, acoustic wave propagation, and mechanical vibrations, which describe energy distribution within the material structure. …”
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    Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

    Published 2023-12-01
    “…It opens up new perspectives in nondestructive testing for the detection of internal defects in various materials and structures. Its objective is to develop and implement nondestructive testing methods based on a neural network device to improve the accuracy of defect identification, as well as to build a neural network model and evaluate its effectiveness for the refinement of ultrasonic visualization of internal defects in solid materials. …”
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