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Journal articles on the topic 'Phenomena-based modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Benenson, Itzhak, and Paul M. Torrens. "Geosimulation: object-based modeling of urban phenomena." Computers, Environment and Urban Systems 28, no. 1-2 (2004): 1–8. http://dx.doi.org/10.1016/s0198-9715(02)00067-4.

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Kikuchi, Shinya, Jongho Rhee, and Dusan Teodorovic. "Applicability of an agent-based modeling concept to modeling of transportation phenomena." Yugoslav Journal of Operations Research 12, no. 2 (2002): 141–56. http://dx.doi.org/10.2298/yjor0202141k.

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Today's transportation problems are found in the complex interactions of social, financial, economic, political, and engineering issues. The traditional approach to analyzing transportation problems has been the top-down approach, in which a set of overall objectives is defined and specific parts are fitted in the overall scheme. The effectiveness of this analysis process has been challenged when many issues need to be addressed at once and the individual parts participants to decisions have greater autonomy. A factor contributing to this phenomenon is the greater opportunity and power for ind

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Kuroda, Chiaki, Hideyuki Matsumoto, and Satoko Fujioka. "Phenomena-based Modeling and Simulation to Approach Process Intensification." KAGAKU KOGAKU RONBUNSHU 34, no. 1 (2008): 1–7. http://dx.doi.org/10.1252/kakoronbunshu.34.1.

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4

Ganoulis, J. "Modeling Hydrologic Phenomena [Free opinion]." Revue des sciences de l'eau 9, no. 4 (2005): 421–34. http://dx.doi.org/10.7202/705260ar.

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With the aim of suggesting some practical rules for the use of hydrological models, G. De MARSILY in his "free opinion" (Rev. Sci. Eau 1994, 7(3): 219-234) proposes a classification of hydrologic models into two categories: - models built on data (observable phenomena) and ; - models without any available observations (unobservable phenomena). He claims that for the former group of observable phenomena, models developed through a learning process as well as those based on the underlying physical laws are of the black box type. For the latter group of unobservable phenomena, he suggests that ph

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Sharipov, Felix. "Modeling of transport phenomena in gases based on quantum scattering." Physica A: Statistical Mechanics and its Applications 508 (October 2018): 797–805. http://dx.doi.org/10.1016/j.physa.2018.05.129.

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Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-Based Modeling." Social Psychological and Personality Science 8, no. 4 (2017): 387–95. http://dx.doi.org/10.1177/1948550617691100.

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Agent-based modeling is a long-standing but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over time. ABMs are especially useful when investigating group behavior or evolutionary processes and can uniquely reveal nonlinear dynamics and emergence—the process whereby local interactions aggregate into often-surprising collective phenomena such

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Dubbe, Hendrik, Gerhart Eigenberger, and Ulrich Nieken. "Modeling of Conversion Hysteresis Phenomena for Pt/Pd‐based Diesel Oxidation Catalysts." Chemie Ingenieur Technik 90, no. 5 (2018): 625–33. http://dx.doi.org/10.1002/cite.201700134.

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Shustorovich, Evgeny. "Chemisorption phenomena: Analytic modeling based on perturbation theory and bond-order conservation." Surface Science Reports 6, no. 1 (1986): 1–63. http://dx.doi.org/10.1016/0167-5729(86)90003-8.

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Westley, Alexandra, Nicholas De Meglio, Rebecca Hager, Jorge Wu Mok, Linda Shanahan, and Surajit Sen. "Study of simple land battles using agent-based modeling: Strategy and emergent phenomena." International Journal of Modern Physics B 31, no. 10 (2017): 1742002. http://dx.doi.org/10.1142/s0217979217420024.

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In this paper, we expand upon our recent studies of an agent-based model of a battle between an intelligent army and an insurgent army to explore the role of modifying strategy according to the state of the battle (adaptive strategy) on battle outcomes. This model leads to surprising complexity and rich possibilities in battle outcomes, especially in battles between two well-matched sides. We contend that the use of adaptive strategies may be effective in winning battles.

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Lubej, Martin, Uroš Novak, Mingqiang Liu, Mitja Martelanc, Mladen Franko, and Igor Plazl. "Microfluidic droplet-based liquid–liquid extraction: online model validation." Lab on a Chip 15, no. 10 (2015): 2233–39. http://dx.doi.org/10.1039/c4lc01460j.

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Gan, Xu Sheng, Xue Qin Tang, and Hai Long Gao. "Physical Essence of Stall Phenomena and its WNN-Based Aerodynamic Modeling from Flight Data." Applied Mechanics and Materials 602-605 (August 2014): 3140–43. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3140.

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To understand the characteristics of aircraft stall for better aerodynamic model, the physical essence of the stall phenomena of aircraft is first introduced, and then a Wavelet Neural Network (WNN) is proposed to set up the stall aerodynamic model. Numerical examples indicates that through the deep cognition of the stall phenomena of aircraft the proposed stall aerodynamic method has a better accuracy than the traditional neural network and is also effective and feasible.

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Dodson, Brian W. "Computer-Based Modeling in Materials Science." MRS Bulletin 13, no. 2 (1988): 14–15. http://dx.doi.org/10.1557/s0883769400066306.

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In principle, all materials science problems are easy to solve. One describes the system using quantum mechanical wave functions, solves the Schrödinger equation using the appropriate boundary conditions, and converts the result into the microscopic and/or macroscopic observables of interest. Unfortunately, carrying out this program is usually many orders of magnitude too difficult. As a result, various approximations and simplifications are introduced to obtain descriptions having the minimum complexity to describe a given class of phenomena. (A simple example is the treatment of lattice vibr

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Ruiz de Mendoza Ibáñez, Francisco José. "Conceptual complexes in cognitive modeling." Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics 30, no. 1 (2017): 299–324. http://dx.doi.org/10.1075/resla.30.1.12rui.

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Abstract The present paper goes beyond previous treatments of cognitive models, especially conceptual metaphor and metonymy, by drawing on linguistic evidence. It introduces needed refinements into previous meaning construction accounts by investigating the activity of conceptual complexes, i.e., combinations of cognitive models whose existence can be detected from a careful examination of the meaning effects of some linguistic expressions. This improvement endows the linguist with a more powerful set of analytical tools capable of dealing with a broader range of phenomena than previous theori

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Ihara, Emily S., and JoAnn S. Lee. "Agent-Based Modeling: Value Added to Social Work Research." Families in Society: The Journal of Contemporary Social Services 100, no. 3 (2019): 305–11. http://dx.doi.org/10.1177/1044389419842764.

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Social workers have taken large strides in adopting rigorous research methods, yet there have been computational advances that could enhance the social work knowledge base. This article introduces a computational method, agent-based modeling, which can facilitate theoretical and methodological innovations by strengthening the alignment of our research methods with common social work theories. We review three theories, identify how current methods do not allow for the full exploration of the social phenomena under investigation, and provide justification for using agent-based modeling.

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Bhat, Riyaz Ahmad, Irshad Ahmad Bhat, and Dipti Misra Sharma. "Improving Transition-Based Dependency Parsing of Hindi and Urdu by Modeling Syntactically Relevant Phenomena." ACM Transactions on Asian and Low-Resource Language Information Processing 16, no. 3 (2017): 1–35. http://dx.doi.org/10.1145/3005447.

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Zhang, Yingyao, Xinye Xu, Lijun Jin, Zhenlian An, Yingsan Geng, and Jianhua Wang. "Influence of Microscopic Electric Field Enhancement on Microparticle Impact Phenomena Based on Fractal Modeling." IEEE Transactions on Plasma Science 45, no. 9 (2017): 2588–95. http://dx.doi.org/10.1109/tps.2017.2727542.

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Menin, Boris Michailovich. "Applying Measurement Theory and Information-based Measure in Modeling Physical Phenomena and Technological Processes." European Journal of Engineering Research and Science 3, no. 1 (2018): 28. http://dx.doi.org/10.24018/ejers.2018.3.1.594.

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In this paper, we compare the features of the application of the theory of measurements and the measure of the similarity of the model to the phenomenon under study on the basis of calculating the amount of information contained in the model. An experimental estimate compared with the standard model’s uncertainty calculation procedure shows that this measure is preferable to the traditional approach to calculating the threshold discrepancy. The article presents an algorithm that is used to calculate the minimum achievable uncertainty in the resolution of the model's fuzziness, as well as exper

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G.V., Shapovalov, Кazakov A.I., Moskvin P.P., Khomutenko D.O., and Petriv V.M. "MATHEMATICAL MODELING OF CRITICALl PHENOMENA IN SOLID SOLUTION OF SEMICONDUCTORS BASED ON A2B6 COMPOUNDS." Informatics and mathematical methods in simulation 10, no. 1-2 (2020): 11–22. http://dx.doi.org/10.15276/imms.v10.no1-2.11.

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Li, Guanchen, and Charles W. Monroe. "Multiscale Lithium-Battery Modeling from Materials to Cells." Annual Review of Chemical and Biomolecular Engineering 11, no. 1 (2020): 277–310. http://dx.doi.org/10.1146/annurev-chembioeng-012120-083016.

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New experimental technology and theoretical approaches have advanced battery research across length scales ranging from the molecular to the macroscopic. Direct observations of nanoscale phenomena and atomistic simulations have enhanced the understanding of the fundamental electrochemical processes that occur in battery materials. This vast and ever-growing pool of microscopic data brings with it the challenge of isolating crucial performance-decisive physical parameters, an effort that often requires the consideration of intricate interactions across very different length scales and timescale

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Alqurashi, Raghda, and Tom Altman. "Hierarchical Agent-Based Modeling for Improved Traffic Routing." Applied Sciences 9, no. 20 (2019): 4376. http://dx.doi.org/10.3390/app9204376.

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Agent-based model (ABM) simulation is a bottom–up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a system. Therefore, it is an appropriate technology to analyze emergent phenomena in social sciences and complex adaptive systems such as vehicular traffic and pedestrian crowds. In this paper, a hybrid agent-based modeling framework designed to automate decision-making processes during traffic congestion is proposed. The model provides drivers wi

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Zhi, Jian Zhuang, Gui Bo Yu, Shi Jie Deng, Zhi Ling Chen, and Wen Ya Bai. "Modeling and Simulation about TSP Based on Simulated Annealing Algorithm." Applied Mechanics and Materials 380-384 (August 2013): 1109–12. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1109.

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The simulated annealing algorithm is applied on traveling salesman problem (TSP), which the genetic algorithm solving in while the earliness phenomena appear. Modeling and Simulation about TSP Based on Simulated Annealing Algorithm have been done. The simulation results have proved that the simulated annealing algorithm is better in searching in the global searching than the genetic algorithm.

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22

Levorato, Vincent. "Group Measures and Modeling for Social Networks." Journal of Complex Systems 2014 (September 30, 2014): 1–10. http://dx.doi.org/10.1155/2014/354385.

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Social network modeling is generally based on graph theory, which allows for study of dynamics and emerging phenomena. However, in terms of neighborhood, the graphs are not necessarily adapted to represent complex interactions, and the neighborhood of a group of vertices can be inferred from the neighborhoods of each vertex composing that group. In our study, we consider that a group has to be considered as a complex system where emerging phenomena can appear. In this paper, a formalism is proposed to resolve this problematic by modeling groups in social networks using pretopology as a general

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23

KNOPOFF, D. "ON THE MODELING OF MIGRATION PHENOMENA ON SMALL NETWORKS." Mathematical Models and Methods in Applied Sciences 23, no. 03 (2013): 541–63. http://dx.doi.org/10.1142/s0218202512500558.

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This paper deals with the modeling of migration phenomena in a small network of nations, with the aim of investigating the influence that the wealth and the welfare policies have on this phenomena. The modeling approach is based on the kinetic theory of active particles, while individuals over the network are distinguished by a scalar variable (the activity) which expresses their social state. The dynamics is induced both by the communication of individuals over the network and by the welfare policy within each nation, which is expressed in terms of competitive and altruistic interactions. The

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Page, Scott E. "Aggregation in agent-based models of economies." Knowledge Engineering Review 27, no. 2 (2012): 151–62. http://dx.doi.org/10.1017/s0269888912000112.

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AbstractAgent-based models are often described as bottom-up because macro-level phenomena emerge from the micro-level interactions of agents. These macro-level phenomena include fixed points, cycles, dynamic patterns, and long transients. In this paper, I explore the link between micro-level characteristics—learning rules, diversity, network structure, and externalities—and the macro-level patterns they produce. I focus on why we need agent-level modeling, on how these models produce emergent phenomenon, and on how agent-based models help understand outcomes of social systems in a way that dif

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Fnaiech, Mohamed Amine, Hazem Nounou, Mohamed Nounou, and Aniruddha Datta. "Intervention in Biological Phenomena via Feedback Linearization." Advances in Bioinformatics 2012 (November 6, 2012): 1–9. http://dx.doi.org/10.1155/2012/534810.

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The problems of modeling and intervention of biological phenomena have captured the interest of many researchers in the past few decades. The aim of the therapeutic intervention strategies is to move an undesirable state of a diseased network towards a more desirable one. Such an objective can be achieved by the application of drugs to act on some genes/metabolites that experience the undesirable behavior. For the purpose of design and analysis of intervention strategies, mathematical models that can capture the complex dynamics of the biological systems are needed. S-systems, which offer a go

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Kuzovova, Angela, and Timur Muksunov. "Modeling of Acoustic Processes in Solids Based on Particle Interaction." MATEC Web of Conferences 155 (2018): 01044. http://dx.doi.org/10.1051/matecconf/201815501044.

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An algorithm for the numerical propagation of acoustic waves in solids has been developed. The algorithm is based on the particles interaction model of in a tetrahedral crystal lattice. Numerical integration of Newton's equations in the calculation of particle trajectories is applied. The possibility of numerical modeling of wave diffraction processes on heterogeneities is shown. The resonant phenomena are observed in simulation of acoustic oscillations for an ultrasonic waveguide by means of proposed algorithm.

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Beall, J. H., J. Guillory, D. V. Rose, and Michael T. Wolff. "MODELING JET INTERACTIONS WITH THE AMBIENT MEDIUM." Acta Polytechnica 53, A (2013): 683–86. http://dx.doi.org/10.14311/ap.2013.53.0683.

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Recent high-resolution (see, e.g., [13]) observations of astrophysical jets reveal complex structures apparently caused by ejecta from the central engine as the ejecta interact with the surrounding interstellar material. These observations include time-lapsed “movies” of both AGN and microquasars jets which also show that the jet phenomena are highly time-dependent. Such observations can be used to inform models of the jet–ambient-medium interactions. Based on an analysis of these data, we posit that a significant part of the observed phenomena come from the interaction of the ejecta with prio

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Khan, Md Irfan, I. K. M. Reaz Rahman, and Quazi D. M. Khosru. "Surface Potential-Based Analytical Modeling of Electrostatic and Transport Phenomena of GaN Nanowire Junctionless MOSFET." IEEE Transactions on Electron Devices 67, no. 9 (2020): 3568–76. http://dx.doi.org/10.1109/ted.2020.3011645.

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Yue, Lindsey, Leanne Reich, Terrence Simon, Roman Bader, and Wojciech Lipiński. "Progress in thermal transport modeling of carbonate-based reacting systems." International Journal of Numerical Methods for Heat & Fluid Flow 27, no. 5 (2017): 1098–107. http://dx.doi.org/10.1108/hff-03-2016-0087.

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Purpose Carbonate-based heterogeneous reacting systems are investigated for the applications of thermochemical carbon dioxide capture and energy storage. This paper aims to review recent progress in numerical modeling of thermal transport phenomena in such systems. Design/methodology/approach Calcium oxide looping is selected as the model carbonate-based reacting system. Numerical models coupling heat and mass transfer to chemical kinetics are reviewed for solar-driven calcium oxide looping on the sorbent particle, particle bed, and reactor levels. Findings At the sorbent particle level, a tra

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Della Corte, Alessandro, Ivan Giorgio, and Daria Scerrato. "A review of recent developments in mathematical modeling of bone remodeling." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234, no. 3 (2019): 273–81. http://dx.doi.org/10.1177/0954411919857599.

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In this article, we summarize the developments in the mathematical modeling of the mechanics of bone and related biological phenomena. We will devote special attention to the results of the last 10–15 years, although we will cover some relevant classical work to better frame the more recent researches. We will propose a division of the literature based on the main aim of the model (mechanical/biomathematical) and the type of biological phenomena considered (stimulus, growth, cell population dynamics). Finally, we will suggest some possible directions for future investigations.

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Jiang, Bing Chuan, Xiong You, Qing Xia, and Wei Zhang. "Preliminary Study on Voxel-Based Virtual Geographic Environment Representation." Applied Mechanics and Materials 307 (February 2013): 464–69. http://dx.doi.org/10.4028/www.scientific.net/amm.307.464.

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The expression of virtual geographic environment is based on the surface modeling, such as three-dimensional terrain modeling and rendering most of which are based on the polygon grid and 2D textured. In the expression of extreme terrain, such as caves, cliffs, canyons it seems powerless. However, the voxel-based terrain modeling has been more useful than polygon modeling expression in the field of real-time terrain deformation, extreme terrain simulation and geographic process expression. Furthermore, virtual geographic environment based on the traditional surface model is difficult to realis

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Chowdhury, Shomeek, and Stephen S. Fong. "Computational Modeling of the Human Microbiome." Microorganisms 8, no. 2 (2020): 197. http://dx.doi.org/10.3390/microorganisms8020197.

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The impact of microorganisms on human health has long been acknowledged and studied, but recent advances in research methodologies have enabled a new systems-level perspective on the collections of microorganisms associated with humans, the human microbiome. Large-scale collaborative efforts such as the NIH Human Microbiome Project have sought to kick-start research on the human microbiome by providing foundational information on microbial composition based upon specific sites across the human body. Here, we focus on the four main anatomical sites of the human microbiome: gut, oral, skin, and

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Barrera, Antonio, Patricia Román-Román, and Francisco Torres-Ruiz. "Two Stochastic Differential Equations for Modeling Oscillabolastic-Type Behavior." Mathematics 8, no. 2 (2020): 155. http://dx.doi.org/10.3390/math8020155.

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Stochastic models based on deterministic ones play an important role in the description of growth phenomena. In particular, models showing oscillatory behavior are suitable for modeling phenomena in several application areas, among which the field of biomedicine stands out. The oscillabolastic growth curve is an example of such oscillatory models. In this work, two stochastic models based on diffusion processes related to the oscillabolastic curve are proposed. Each of them is the solution of a stochastic differential equation obtained by modifying, in a different way, the original ordinary di

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Holliger, Klaus, and Tim Bergmann. "Numerical modeling of borehole georadar data." GEOPHYSICS 67, no. 4 (2002): 1249–57. http://dx.doi.org/10.1190/1.1500387.

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High‐frequency electromagnetic (EM) wave propagation phenomena associated with borehole georadar experiments are complex. To improve our understanding of the governing physical processes, we present a finite‐difference solution of Maxwell's equations in cylindrical coordinates. This approach allows us to model the full EM wavefield associated with borehole georadar experiments and to assess the adequacy of ray‐based methods currently used to interpret the observed amplitudes. Our results indicate that because shallow boreholes are often water filled, the finite length of the boreholes as well

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Simmonds, Jose, Juan A. Gómez, and Agapito Ledezma. "The role of agent-based modeling and multi-agent systems in flood-based hydrological problems: a brief review." Journal of Water and Climate Change 11, no. 4 (2019): 1580–602. http://dx.doi.org/10.2166/wcc.2019.108.

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Abstract Flood problems are complex phenomena with a direct relationship with the hydrological cycle; these are natural processes occurring in water systems, that interact at different spatial and temporal scales. In modeling the hydrological phenomena, traditional approaches, like physics-based mathematical equations and data-driven modeling (DDM) are used. Advances in hydroinformatics are helping to understand these physical processes, with improvements in the collection and analysis of hydrological data, information and communication technologies (ICT), and geographic information systems (G

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Simillion, Hans, Olga Dolgikh, Herman Terryn, and Johan Deconinck. "Atmospheric corrosion modeling." Corrosion Reviews 32, no. 3-4 (2014): 73–100. http://dx.doi.org/10.1515/corrrev-2014-0023.

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AbstractA better understanding of corrosion processes during the last years is leading to an increased demand for numerical corrosion models. Corrosion models become increasingly relevant toward simulations, lifetime predictions, and the optimization of corrosion prevention. Also, the improvements in computational power and capacity give rise to an increased number of research projects in this field. Totally different modeling approaches are applied to a wide range of different corrosion processes. This leads to a dispersion of information in the literature. The aim of this paper is to give an

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Goldman, Susan R., Cynthia Greenleaf, Mariya Yukhymenko-Lescroart, et al. "Explanatory Modeling in Science Through Text-Based Investigation: Testing the Efficacy of the Project READI Intervention Approach." American Educational Research Journal 56, no. 4 (2019): 1148–216. http://dx.doi.org/10.3102/0002831219831041.

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This article reports the results of a randomized control trial of a semester-long intervention designed to promote ninth-grade science students’ use of text-based investigation to create explanatory models of biological phenomena. The main research question was whether the student participants in the intervention outperformed the students in the control classes, as assessed by several measures of comprehension and application of information to modeling biological phenomena not covered in the instruction. A second research question examined the impact on the instructional practices of the teach

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Yu, Biao, and Han Zhao. "Study on Influence of Geometric Parameters on DMFC Performance Based on Experiments and CFD Simulations." Applied Mechanics and Materials 217-219 (November 2012): 754–58. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.754.

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To investigate the influence geometric parameters on the performance of direct methanol fuel cell (DMFC), experimental study and computational fluid dynamics (CFD) based on modeling are conducted in the research. Three types of geometric configurations with serpentine flow channels and similar open areas with different widths are fabricated to be tested. The experimental results show that the geometric configuration with narrower width has better performance. To explain and understand such phenomena, a CFD based modeling is introduced. The model results show that the geometric configuration wi

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Hojati, Majid, and Colin Robertson. "Integrating cellular automata and discrete global grid systems: a case study into wildfire modelling." AGILE: GIScience Series 1 (July 15, 2020): 1–23. http://dx.doi.org/10.5194/agile-giss-1-6-2020.

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Abstract. With new forms of digital spatial data driving new applications for monitoring and understanding environmental change, there are growing demands on traditional GIS tools for spatial data storage, management and processing. Discrete Global Grid System (DGGS) are methods to tessellate globe into multiresolution grids, which represent a global spatial fabric capable of storing heterogeneous spatial data, and improved performance in data access, retrieval, and analysis. While DGGS-based GIS may hold potential for next-generation big data GIS platforms, few of studies have tried to implem

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Fang, H. R., T. Tang, X. M. Zhang, Zhuo Zhuang, Wei Yang, and Ying Zhao. "Finite Element Modeling of Cardiac Pacing/Defibrillation Lead Interaction with Heart." Key Engineering Materials 306-308 (March 2006): 1271–76. http://dx.doi.org/10.4028/www.scientific.net/kem.306-308.1271.

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The hyperelastic constitutive model of cardiac muscle is developed based on the animal surgical operation and mechanical experiments from the heart of the dogs, and the relaxation phenomena is also studied based on the Hill three elements model which is viscoelastic. Some numerical simulations are presented by finite element for the cardiac pacing/defibrillation lead interaction with muscles of the heart.

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Rasoulkhani, Kambiz, Brianne Logasa, Maria Presa Reyes, and Ali Mostafavi. "Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling." Water 10, no. 8 (2018): 993. http://dx.doi.org/10.3390/w10080993.

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More than one billion people will face water scarcity within the next ten years due to climate change and unsustainable water usage, and this number is only expected to grow exponentially in the future. At current water use rates, supply-side demand management is no longer an effective way to combat water scarcity. Instead, many municipalities and water agencies are looking to demand-side solutions to prevent major water loss. While changing conservation behavior is one demand-based strategy, there is a growing movement toward the adoption of water conservation technology as a way to solve wat

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Polak, Micha, and Leonid Rubinovich. "Thermal properties and segregation phenomena in transition metals and alloys: modeling based on modified cohesive-energies." Journal of Physics: Condensed Matter 31, no. 21 (2019): 215402. http://dx.doi.org/10.1088/1361-648x/ab0865.

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Cao, Dong Xing, Yi Tong Cao, Hui Li, Xiu Hong Wang, and Li Zhu Lei. "A Transdermal Miniature Syringe Design Based on Port Ontology for Drug Delivery." Key Engineering Materials 609-610 (April 2014): 1464–69. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.1464.

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In clinic practice, a strong appeal for painless transdermal injection is pursued, especially for patient drug delivery that cannot be administered orally. A new disposable painless syringe with MEMS technology is presented. The mode of micro needle array and a flexible PDMS container of hemisphere shape are given, and the behavior of the drug liquid flow through the needles is described based on port ontology to model miniature syringe and explains the phenomena of clog formation. The analysis and formulas have theoretically been derived, and the performances and the clog phenomena have been

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Madarász, Rossi Róbert, András Kelemen, and Péter Kádár. "Modeling reactive magnetron sputtering: a survey of different modeling approaches." Acta Universitatis Sapientiae, Informatica 12, no. 1 (2020): 112–36. http://dx.doi.org/10.2478/ausi-2020-0008.

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AbstractThe paper focuses on providing an insight into the current state of computational modeling regarding reactive magnetron sputtering systems. A detailed compilation of developed models is gathered and grouped into categories based on the phenomena being modeled. The survey covers models developed for the analysis of magnetron discharges, particle-surface interactions at the target and the substrate, as well as macroscopic models. Corresponding software packages available online are also presented. After gaining the necessary insight into the current state of research, a list of the most

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Safonyk, Andrii, and Olena Prysiazhniuk. "Modeling and Simulation in Engineering Modeling of the Electrocoagulation Processes in Nonisothermal Conditions." Modelling and Simulation in Engineering 2019 (November 3, 2019): 1–6. http://dx.doi.org/10.1155/2019/9629643.

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The paper suggests an approach to modeling the electrocoagulation process that is based on the generalization of the equations of incompressible fluid flow in nonisothermal conditions. In the model was taking into account the ratio between the values of the parameters which characterize the domination of convective and mass-exchange components of the process over diffusion. An asymptotic approximation of solutions of corresponding boundary value problems is constructed. Based on the received solutions, we conducted a computer simulation of the process of distribution of iron concentration insi

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Jamil, Rehan. "Digital Elevation Modeling Analysis for Investigation of Gravity Hill Phenomena." International Journal of 3-D Information Modeling 7, no. 3 (2018): 25–38. http://dx.doi.org/10.4018/ij3dim.2018070102.

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This article presents an investigation of the gravity hill phenomena by analysing its geospatial data. Wadi Al Baida located in Al Madinah, Saudi Arabia has been taken as a case study. Wadi Al Baida is listed as one of the sites in the world where the said phenomena exists, but the site has been famous for any sort of magnetic force because the vehicles move uphill and on flat road without any engine power on. The topography of the valley is studied by using the geospatial data of the area and by creating Digital Elevation Models (DEMs) based on Point Kriging method of gridding. The results sh

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Maurer, Reinhard J., Christoph Freysoldt, Anthony M. Reilly, et al. "Advances in Density-Functional Calculations for Materials Modeling." Annual Review of Materials Research 49, no. 1 (2019): 1–30. http://dx.doi.org/10.1146/annurev-matsci-070218-010143.

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During the past two decades, density-functional (DF) theory has evolved from niche applications for simple solid-state materials to become a workhorse method for studying a wide range of phenomena in a variety of system classes throughout physics, chemistry, biology, and materials science. Here, we review the recent advances in DF calculations for materials modeling, giving a classification of modern DF-based methods when viewed from the materials modeling perspective. While progress has been very substantial, many challenges remain on the way to achieving consensus on a set of universally app

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Blatchley, Ernest R., Zdravka Do-Quang, Marie-Laure Janex, and Jean-Michel Laîné. "Process modeling of ultraviolet disinfection." Water Science and Technology 38, no. 6 (1998): 63–69. http://dx.doi.org/10.2166/wst.1998.0237.

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Currently available process models for ultraviolet (UV) disinfection do not account for many of the fundamental physical phenomena that are known to affect reactor performance. A modeling approach was developed which employs numerical representations of hydrodynamics and the radiation intensity field; these simulations were accomplished by the methods of computational fluid dynamics and line-source integration. The modeling approach also allowed the identification of process characteristics which limited reactor performance. Based on the output of the models, two geometric modifications were d

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Chiarappa, Gianluca, Michela Abrami, Barbara Dapas, et al. "Mathematical Modeling of Drug Release from Natural Polysaccharides Based Matrices." Natural Product Communications 12, no. 6 (2017): 1934578X1701200. http://dx.doi.org/10.1177/1934578x1701200610.

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The new concept of personalized medicine and the affirmation of Nucleic Acid Based Drugs (NABDs), an emerging class of bio-drugs constituted by short sequences of either DNA or RNA, represent a new challenge for the mathematical modelling in the drug delivery and adsorption field. Indeed, whether patient uniqueness asks for the use of theoretical tools enabling a rational approach adapting to each patient, NABDs delivery brings to our attention new aspects of drug delivery due to the NABDs fragile nature and way of action. This review aims to present and discuss the mathematical modelling of d

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Zapolsky, H., G. Demange, and Rafal Abdank-Kozubski. "From the Atomistic to the Mesoscopic Scale Modeling of Phase Transition in Solids." Diffusion Foundations 12 (September 2017): 111–26. http://dx.doi.org/10.4028/www.scientific.net/df.12.111.

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The phase-field method is a very powerful tool to model the phase transformation and microstructural evolution of solids at mesoscopic scale. However, several important phenomena, like defect formation, grain boundary motion, or reconstructive phase transitions require an atomic scale study. Recently an approach called the quasi-particle approach, based on the Atomic Density Function theory was developed to incorporate the atomic-level crystalline structures into standard continuum theory for pure and multicomponent systems. This review focuses on the description of different computational met

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