Gotowe bibliografie tematyczne / Computer Simulation Models -Network Forming Liquids

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Gotowa bibliografia na temat „Computer Simulation Models -Network Forming Liquids”

Autor: Grafiati

Data publikacji: 7 września 2023

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Computer Simulation Models -Network Forming Liquids"

Stolyarchuk, Maxim, Marina Botnari, and Luba Tchertanov. "Vitamin K Epoxide Reductase Complex–Protein Disulphide Isomerase Assemblies in the Thiol–Disulphide Exchange Reactions: Portrayal of Precursor-to-Successor Complexes." International Journal of Molecular Sciences 25, no. 8 (2024): 4135. http://dx.doi.org/10.3390/ijms25084135.

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The human Vitamin K Epoxide Reductase Complex (hVKORC1), a key enzyme that converts vitamin K into the form necessary for blood clotting, requires for its activation the reducing equivalents supplied by its redox partner through thiol–disulphide exchange reactions. The functionally related molecular complexes assembled during this process have never been described, except for a proposed de novo model of a ‘precursor’ complex of hVKORC1 associated with protein disulphide isomerase (PDI). Using numerical approaches (in silico modelling and molecular dynamics simulation), we generated alternative

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Yang, Xing, Zhen Qian, Xuhong Zhang, et al. "Cascading-Failures Effect on Heterogeneous Internet of Things Systems under Targeted Selective Attack." Security and Communication Networks 2022 (March 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/6848156.

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With the rapid development of the Internet of Things (IoT), the physical system and the network space are further deeply integrated, forming a larger-scale IoT heterogeneous fusion system. The attack mode considered in the security mechanism research of traditional large-scale complex systems is relatively simple; only simple attack types such as random attacks on physical systems or network systems are considered. In addition, existing attack modalities such as selectivity, locality, and distribution cannot fully consider the characteristics of security threats in the IoT system. In this pape

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Pantalé, Olivier. "Development and Implementation of an ANN Based Flow Law for Numerical Simulations of Thermo-Mechanical Processes at High Temperatures in FEM Software." Algorithms 16, no. 1 (2023): 56. http://dx.doi.org/10.3390/a16010056.

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Numerical methods based on finite element (FE) have proven their efficiency for many years in the thermomechanical simulation of forming processes. Nevertheless, the application of these methods to new materials requires the identification and implementation of constitutive and flow laws within FE codes, which sometimes pose problems, particularly because of the strongly non-linear character of the behavior of these materials. Computational techniques based on machine learning and artificial neural networks are becoming more and more important in the development of these models and help the FE

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Shenoy, Vighnesh, Prathvi Shenoy, and Santhosh Krishnan Venkata. "Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach." Computation 12, no. 2 (2024): 29. http://dx.doi.org/10.3390/computation12020029.

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This paper delves into precisely measuring liquid levels using a specific methodology with diverse real-world applications such as process optimization, quality control, fault detection and diagnosis, etc. It demonstrates the process of liquid level measurement by employing a chaotic observer, which senses multiple variables within a system. A three-dimensional computational fluid dynamics (CFD) model is meticulously created using ANSYS to explore the laminar flow characteristics of liquids comprehensively. The methodology integrates the system identification technique to formulate a third-ord

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Fedorovich, Oleg, Igor Chepkov, Mikhail Lukhanin, Yurii Pronchakov, Kseniia Rybka, and Yuliia Leshchenko. "Modeling of supply logistics and training of military personnel for the successful use of weapons in a combat area." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 3 (October 4, 2022): 33–46. http://dx.doi.org/10.32620/reks.2022.3.03.

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The problem of multivariate nature is formed and solved, which is related to the modeling of logistics actions regarding various military equipment and weapons that enter the zone of military conflict. The relevance of the research is related to the comprehensive solution to the problem of the logistical nature of the supply and mastering modern various weapons by the military to create parity of forces in the military conflict zone. The current study creates a complex of logistic methods and models that allow analyzing training of the military, supply of weapons, ammunition and spare parts to

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Merayo, David, Alvaro Rodríguez-Prieto, and Ana María Camacho. "Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys." Materials 13, no. 22 (2020): 5227. http://dx.doi.org/10.3390/ma13225227.

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In metal forming, the plastic behavior of metallic alloys is directly related to their formability, and it has been traditionally characterized by simplified models of the flow curves, especially in the analysis by finite element simulation and analytical methods. Tools based on artificial neural networks have shown high potential for predicting the behavior and properties of industrial components. Aluminum alloys are among the most broadly used materials in challenging industries such as aerospace, automotive, or food packaging. In this study, a computer-aided tool is developed to predict two

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Terentyev, Alexey, Alexey Marusin, Sergey Evtyukov, Aleksandr Marusin, Anastasia Shevtsova, and Vladimir Zelenov. "Analytical Model for Information Flow Management in Intelligent Transport Systems." Mathematics 11, no. 15 (2023): 3371. http://dx.doi.org/10.3390/math11153371.

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The performance of this study involves the use of the zoning method based on the principle of the hierarchical relationship between probabilities. This paper proposes an analytical model allowing for the design of information and analysis platforms in intelligent transport systems. The proposed model uses a synthesis of methods for managing complex systems’ structural dynamics and solves the problem of achieving the optimal balance between the information situations existing for the object and the subject under analysis. A series of principles are formulated that govern the mathematical modeli

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Dubanov, A. A. "Methods for Applying Matrices when Creating Models of Group Pursuit." Advanced Engineering Research 23, no. 2 (2023): 191–202. http://dx.doi.org/10.23947/2687-1653-2023-23-2-191-202.

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Introduction. It is obvious that in the near future, the issues of equipping moving robotic systems with autonomous control elements will remain relevant. This requires the development of models of group pursuit. Note that optimization in pursuit tasks is reduced to the construction of optimal trajectories (shortest trajectories, trajectories with differential constraints, fuel consumption indicators). At the same time, the aspects of automated distribution by goals in group pursuit were not considered. To fill this gap, the presented piece of research has been carried out. Its result should b

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Vegge, Tejs. "(Invited) BIG-MAP - Going BIG to MAP an Accelerated Path to Sustainable Battery Materials Discovery." ECS Meeting Abstracts MA2024-02, no. 3 (2024): 342. https://doi.org/10.1149/ma2024-023342mtgabs.

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The large-scale European research initiative, the Battery Interface Genome – Materials Acceleration Platform (BIG-MAP), set forth to reinvent the ways we invent batteries in Europe by developing a distributed framework for accelerated autonomous discovery of sustainable battery materials and interfaces. A central element in this process is the development of a closed-loop MAP infrastructure, where multiple and geographically distributed laboratories or tenants can work jointly using autonomous workflows to co-optimize materials properties. Here, we show an example using the Fast INtention-Agno

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Tao, Sichen, Yuki Todo, Zheng Tang, Bin Li, Zhiming Zhang, and Riku Inoue. "A Novel Artificial Visual System for Motion Direction Detection in Grayscale Images." Mathematics 10, no. 16 (2022): 2975. http://dx.doi.org/10.3390/math10162975.

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How specific features of the environment are represented in the mammalian brain is an important unexplained mystery in neuroscience. Visual information is considered to be captured most preferentially by the brain. As one of the visual information elements, motion direction in the receptive field is thought to be collected already at the retinal direction-selective ganglion cell (DSGC) layer. However, knowledge of direction-selective (DS) mechanisms in the retina has remained only at a cellular level, and there is a lack of complete direction-sensitivity understanding in the visual system. Pre

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Rozprawy doktorskie na temat "Computer Simulation Models -Network Forming Liquids"

Mondal, Chandana. "Equilibrium and Rheological Properties of Model Network Formers." Thesis, 2019. http://hdl.handle.net/10821/8292.

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This thesis embodies a study of the static and dynamic aspects of network forming liquids in two-dimensions starting from a very simple model of binary mixture of Lennard-Jones type particles to patchy colloids with complex inter-particle interactions. In the rst chapter we provide a general overview of simple and complex colloids which is then followed by a discussion on the various anomalous properties shown by network forming liquids and their computer simulation models focusing mainly on the most common and important network-forming liquid i.e. water. Discussion on the dynamic aspects lik

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Streszczenia konferencji na temat "Computer Simulation Models -Network Forming Liquids"

Martinez Lucci, Jose, R. S. Amano, and Pradeep Rohatgi. "Computational Analysis of Self-Healing in a Polymer Matrix With Microvascular Networks." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50148.

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For the last decade, many researchers have been working to develop self-healing materials, and have obtained good results in the field of polymers, these components with microencapsulated healing agent have exhibited noticeable mechanical performance and regenerative property The research described in this paper applies the concept of self healing to simulate self healing polymer matrix composites, with the aid of models developed by the authors for the manufacturing processes and self-healing behavior. The development of self-healing is a novel idea that has not been totally explored in great

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Kolev, Nikolay Ivanov. "SKYTHIA: A Universal Multi-Phase Flow Analyzer." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-31285.

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SKYTHIA is a computer code for computational simulation of transient multi-phase flows based on three multi-component velocity fields in a porous structure that may change its geometry in time. The foundation of the computer code SKYTHIA allows applications for mathematical simulation of a variety of processes. From • two-phase gas-plasma multi-component hydrogen detonation in pipe-network with dissociation of the gases, • through condensation water-steam shock waves in complex pipe networks, • gas solution and dissolution in liquids, dissolved gas release from water in pipe network and gas-sl

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Shekman, E. A. "ДИФФЕРЕНЦИРОВАННЫЙ УЧЕТ ГЕОМОРФОЛОГИЧЕСКИХ УСЛОВИЙ ВОДОСБОРНОГО БАССЕЙНА С ИСПОЛЬЗОВАНИЕМ ПОРЯДКОВЫХ ХАРАКТЕРИСТИК ВОДОРАЗДЕЛОВ". У GEOGRAFICHESKIE I GEOEKOLOGICHESKIE ISSLEDOVANIIA NA DAL`NEM VOSTOKE. ИП Мироманова Ирина Витальевна, 2019. http://dx.doi.org/10.35735/tig.2019.90.64.014.

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Флагманом современной географии выступает моделирование географических систем и процессов их функционирования, базирующееся на огромных базах данных и алгоритмах многомерного компьютерного моделирования поведения сложных многосвязных систем. Сам процесс моделирования базируется на мощном аппарате математического анализа и статистической обработки базовых параметров объектов, на основе которых производится построение имитационных моделей их функционирования и развития. Речной бассейн является самым распространенным на поверхности суши природным объектом, обладающий отчетливо выраженными граница

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