Log in

Relevant bibliographies by topics / Computational modeling and simulation / Journal articles

To see the other types of publications on this topic, follow the link: Computational modeling and simulation.

Journal articles on the topic 'Computational modeling and simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Computational modeling and simulation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Greif, Hajo. "Exploring Minds: Modes of Modeling and Simulation in Artificial Intelligence." Perspectives on Science 29, no. 4 (July 2021): 409–35. http://dx.doi.org/10.1162/posc_a_00377.

Full text

Abstract:

Abstract The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them.

APA, Harvard, Vancouver, ISO, and other styles

2

Raji, Kochandra, and Choondal B. Sobhan. "Simulation and modeling of carbon nanotube synthesis: current trends and investigations." Nanotechnology Reviews 2, no. 1 (February 1, 2013): 73–105. http://dx.doi.org/10.1515/ntrev-2012-0038.

Full text

Abstract:

AbstractA review of significant investigations reported on simulating the nucleation and growth processes of carbon nanotubes (CNTs) using different modeling techniques is presented here. Special emphasis is given to the chemical vapor deposition method, being the cheapest and most versatile of the fabrication methods. The modeling methods involve the conventional computational fluid dynamics approaches as well as discrete computation techniques. Some in-house investigations utilizing chemical kinetic modeling and discrete computations to predict the growth of CNTs using the chemical vapor deposition method are also discussed. The modeling and simulation techniques reviewed here are expected to assist in the design of chirality-specific single-walled CNT synthesis systems.

APA, Harvard, Vancouver, ISO, and other styles

3

Kim, Yong Cheon, Dai Young Kwon, and Won Gyu Lee. "Computational Modeling and Simulation for Learning an Automation Concept in Programming Course." International Journal of Computer Theory and Engineering 6, no. 4 (2014): 341–45. http://dx.doi.org/10.7763/ijcte.2014.v6.886.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Alam, Jahrul M. "Toward a Multiscale Approach for Computational Atmospheric Modeling." Monthly Weather Review 139, no. 12 (December 1, 2011): 3906–22. http://dx.doi.org/10.1175/2011mwr3533.1.

Full text

Abstract:

Abstract Atmospheric motions are generally characterized by a wide range of multiple length and time scales, and a numerical method must use a fine grid to resolve such a wide range of scales. Furthermore, a very fine grid requires an extremely small time step in order to keep explicit time integration schemes stable. Therefore, high-resolution meteorological simulations are very expensive. A novel multiscale modeling approach is, therefore, presented for simulating atmospheric flows. In this approach, a prognostic variable representing a highly intermittent multiscale feature is decomposed into a significant and a nonsignificant part using wavelets, where the significant part is represented by a small fraction of the wavelet modes. The proposed multiscale methodology has been verified for simulating three cases: Smolarkiewicz’s deformational flow model, warm thermals in a dry atmosphere, and the dynamics of a vortex pair with ambient stable stratification. Comparisons with benchmark simulations and with a reference model are evidence for the convergence and stability of the proposed model. The comparison with the reference model has revealed that about 93% of the grid points are not necessary to resolve the significant motion in a warm thermal simulation, saving about 96% of the CPU time. Moreover, the CPU time varies linearly with the number of significant wavelet modes, showing that the present fully implicit adaptive model is asymptotically optimal for this simulation. These primary results point toward the benefit of constructing multiscale atmospheric models using the adaptive wavelet methodology.

APA, Harvard, Vancouver, ISO, and other styles

5

Ziegel, Eric R., C. Taber, and R. Timpone. "Computational Modeling." Technometrics 39, no. 2 (May 1997): 238. http://dx.doi.org/10.2307/1270931.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Avelar, Nayara Vilela, Ana Augusta Passos Rezende, Antonio Marcos de Oliveira Siqueira, Cláudio Mudadu Silva, and Angélica de Cássia Oliveira Carneiro. "Computational modeling of biosludge drying." International Journal for Innovation Education and Research 9, no. 8 (August 1, 2021): 219–32. http://dx.doi.org/10.31686/ijier.vol9.iss8.3280.

Full text

Abstract:

Considerable increases in industrial and urban wastewater sludge generation in recent years require proper treatment, such as thermal drying, and disposal. The sludge drying is a complex process involving simultaneous and coupled heat and mass transfer, which can be modeled by taking into account mass and heat balances, and assuming that water diffuses according to kinetic laws. This research implemented a simulation model for biosludge drying processes to predict the temperature and moisture distribution inside the biosludge, using the COMSOL Multiphysics® simulation program v5.2. A parametric analysis was carried out to determine the effect of initial moisture content on biosludge final temperature and moisture reduction. The simulated temperature and moisture content were experimentally validated and good agreement was observed between the simulation and experimental results. This model is a useful tool to optimize the drying process and develop better strategies for the control of the system.

APA, Harvard, Vancouver, ISO, and other styles

7

Ceder, Gerbrand, Marc Doyle, Pankaj Arora, and Yuris Fuentes. "Computational Modeling and Simulation for Rechargeable Batteries." MRS Bulletin 27, no. 8 (August 2002): 619–23. http://dx.doi.org/10.1557/mrs2002.198.

Full text

Abstract:

AbstractComputational modeling is playing an increasingly important role in materials research and design. At the system level, the impact of cell design, electrode thickness, electrode morphology, new packaging techniques, and numerous other factors on battery performance can be predicted with battery simulators based on complex electrochemical transport equations. Such simulation tools have allowed the battery industry to optimize the power and energy density that can be achieved with a given set of electrode and electrolyte materials. At the materials level, first-principles calculations, which can be used to predict properties of previously unknown materials ab initio, have now made it possible to design materials for higher capacity and better stability. The state of the art in computational modeling of rechargeable batteries is reviewed.

APA, Harvard, Vancouver, ISO, and other styles

8

Knudsen, Thomas B. "Computational modeling and simulation of developmental toxicity." Toxicology Letters 258 (September 2016): S40. http://dx.doi.org/10.1016/j.toxlet.2016.06.1245.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Yasar, Osman, and Jose Maliekal. "Computational Pedagogy: A Modeling and Simulation Approach." Computing in Science & Engineering 16, no. 3 (May 2014): 78–88. http://dx.doi.org/10.1109/mcse.2014.60.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

R., Blasco, Diaz G., and Reyes A. "PNEUMATIC SUSPENSION DRYING: MODELING AND COMPUTATIONAL SIMULATION." Drying Technology 16, no. 1-2 (January 1998): 199–215. http://dx.doi.org/10.1080/07373939808917399.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Park, Sang-Jun, Hui Sun Lee, Jumin Lee, and Wonpil Im. "Computational Toolset for Glycoconjugate Modeling and Simulation." Biophysical Journal 114, no. 3 (February 2018): 680a. http://dx.doi.org/10.1016/j.bpj.2017.11.3669.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Pert, G. J. "Computational modeling for X-ray lasers." Laser and Particle Beams 12, no. 2 (June 1994): 209–22. http://dx.doi.org/10.1017/s0263034600007692.

Full text

Abstract:

Various problems involved in the simulation of current X-ray laser experiments are discussed. The methods are based on laser-plasma simulation techniques with simultaneous calculation of the ionization dynamics, and are particularly appropriate for collisional and recombination pumped systems.

APA, Harvard, Vancouver, ISO, and other styles

13

Zheng, Jun, Hao Bo Qiu, and Xiao Lin Zhang. "Variable-Fidelity Multidisciplinary Design Optimization Based on Analytical Target Cascading Framework." Advanced Materials Research 544 (June 2012): 49–54. http://dx.doi.org/10.4028/www.scientific.net/amr.544.49.

Full text

Abstract:

ATC provides a systematic approach in solving decomposed large scale systems that has solvable subsystems. However， complex engineering system usually has a high computational cost , which result in limiting real-life applications of ATC based on high-fidelity simulation models. To address these problems, this paper aims to develop an efficient approximation model building techniques under the analytical target cascading (ATC) framework, to reduce computational cost associated with multidisciplinary design optimization problems based on high-fidelity simulations. An approximation model building techniques is proposed: approximations in the subsystem level are based on variable-fidelity modeling (interaction of low- and high-fidelity models). The variable-fidelity modeling consists of computationally efficient simplified models (low-fidelity) and expensive detailed (high-fidelity) models. The effectiveness of the method for modeling under the ATC framework using variable-fidelity models is studied. Overall results show the methods introduced in this paper provide an effective way of improving computational efficiency of the ATC method based on variable-fidelity simulation models.

APA, Harvard, Vancouver, ISO, and other styles

14

Kochkov, Dmitrii, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, and Stephan Hoyer. "Machine learning–accelerated computational fluid dynamics." Proceedings of the National Academy of Sciences 118, no. 21 (May 18, 2021): e2101784118. http://dx.doi.org/10.1073/pnas.2101784118.

Full text

Abstract:

Numerical simulation of fluids plays an essential role in modeling many physical phenomena, such as weather, climate, aerodynamics, and plasma physics. Fluids are well described by the Navier–Stokes equations, but solving these equations at scale remains daunting, limited by the computational cost of resolving the smallest spatiotemporal features. This leads to unfavorable trade-offs between accuracy and tractability. Here we use end-to-end deep learning to improve approximations inside computational fluid dynamics for modeling two-dimensional turbulent flows. For both direct numerical simulation of turbulence and large-eddy simulation, our results are as accurate as baseline solvers with 8 to 10× finer resolution in each spatial dimension, resulting in 40- to 80-fold computational speedups. Our method remains stable during long simulations and generalizes to forcing functions and Reynolds numbers outside of the flows where it is trained, in contrast to black-box machine-learning approaches. Our approach exemplifies how scientific computing can leverage machine learning and hardware accelerators to improve simulations without sacrificing accuracy or generalization.

APA, Harvard, Vancouver, ISO, and other styles

15

BERNASCHI, MASSIMO, and FILIPPO CASTIGLIONE. "COMPUTATIONAL FEATURES OF AGENT-BASED MODELS." International Journal of Computational Methods 02, no. 01 (March 2005): 33–48. http://dx.doi.org/10.1142/s0219876205000399.

Full text

Abstract:

Agent-based modeling allows the description of very complex systems. To run large scale simulations of agent-based models in a reasonable time, it is crucial to carefully design data structures and algorithms. We describe the main computational features of agent-based models and report about the solutions we adopted in two applications: The simulation of the immune system response and the simulation of the stock market dynamics.

APA, Harvard, Vancouver, ISO, and other styles

16

Heldt, Thomas, Eun B. Shim, Roger D. Kamm, and Roger G. Mark. "Computational modeling of cardiovascular response to orthostatic stress." Journal of Applied Physiology 92, no. 3 (March 1, 2002): 1239–54. http://dx.doi.org/10.1152/japplphysiol.00241.2001.

Full text

Abstract:

The objective of this study is to develop a model of the cardiovascular system capable of simulating the short-term (≤5 min) transient and steady-state hemodynamic responses to head-up tilt and lower body negative pressure. The model consists of a closed-loop lumped-parameter representation of the circulation connected to set-point models of the arterial and cardiopulmonary baroreflexes. Model parameters are largely based on literature values. Model verification was performed by comparing the simulation output under baseline conditions and at different levels of orthostatic stress to sets of population-averaged hemodynamic data reported in the literature. On the basis of experimental evidence, we adjusted some model parameters to simulate experimental data. Orthostatic stress simulations are not statistically different from experimental data (two-sided test of significance with Bonferroni adjustment for multiple comparisons). Transient response characteristics of heart rate to tilt also compare well with reported data. A case study is presented on how the model is intended to be used in the future to investigate the effects of postspaceflight orthostatic intolerance.

APA, Harvard, Vancouver, ISO, and other styles

17

Talamini, L. M., M. Meeter, and J. M. J. Murre. "Combating fuzziness with computational modeling." Behavioral and Brain Sciences 26, no. 1 (February 2003): 107–8. http://dx.doi.org/10.1017/s0140525x03460020.

Full text

Abstract:

AbstractPhillips & Silverstein's ambitious link between receptor abnormalities and the symptoms of schizophrenia involves a certain amount of fuzziness: No detailed mechanism is suggested through which the proposed abnormality would lead to psychological traits. We propose that detailed simulation of brain regions, using model neural networks, can aid in understanding the relation between biological abnormality and psychological dysfunction in schizophrenia.

APA, Harvard, Vancouver, ISO, and other styles

18

Leung, Maxwell C. K., M. Shane Hutson, Ashley W. Seifert, Richard M. Spencer, and Thomas B. Knudsen. "Computational modeling and simulation of genital tubercle development." Reproductive Toxicology 64 (September 2016): 151–61. http://dx.doi.org/10.1016/j.reprotox.2016.05.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

IMAI, Yohsuke. "Computational modeling and simulation of microcirculatory blood flow." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): T254002. http://dx.doi.org/10.1299/jsmemecj.2018.t254002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Hayati, Mohsen, and Kaveh Darabi. "Modeling and Simulation of Turbogenerator Using Computational Intelligence." Applied Mechanics and Materials 110-116 (October 2011): 5211–15. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.5211.

Full text

Abstract:

In this paper, modeling and simulation of Turbogenerators has been presented using artificial neural networks. The training and testing of neural network was done by MATLAB 6.5.1 software in order to find the optimum values of weights and biases. To find the optimal neural structure, training of several structures with two layers and three layers with different number of neurons in each layer has been done. Moreover, the neural network qualified with the least amount of error was presented along with their related charts.

APA, Harvard, Vancouver, ISO, and other styles

21

Formigoni, A., E. F. Rodrigues, J. R. Maiellaro, L. T. Kawamoto Junior, M. A. Cipriano, and R. S. Lira. "Physical Distribution Routing Using Computational Modeling and Simulation." Journal of Mechatronics 2, no. 4 (December 1, 2014): 329–33. http://dx.doi.org/10.1166/jom.2014.1078.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Wadsley, Michael. "Understanding management of computational process modeling and simulation." JOM 56, no. 12 (December 2004): 33–36. http://dx.doi.org/10.1007/s11837-004-0232-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Hafner, Martin, David Franck, and Kay Hameyer. "Conformal mapping approach for permanent magnet synchronous machines: on the modeling of saturation." Archives of Electrical Engineering 61, no. 2 (June 1, 2012): 211–20. http://dx.doi.org/10.2478/v10171-012-0018-y.

Full text

Abstract:

Conformal mapping approach for permanent magnet synchronous machines: on the modeling of saturation In the electromagnetic field simulation of modern servo drives, the computation of higher time and space harmonics is essential to predict torque pulsations, radial forces, ripple torques and cogging torque. Field computation by conformal mapping (CM) techniques is a time-effective method to compute the radial and tangential field components. In the standard CM approach, computational results of cogging torque simulations as well as overload operations observe deviations to nonlinear finite element (FE) simulations due to the neglection of slot leakage and saturation effects. This paper presents an extension of the classical CM. Additional CM parameters are computed from single finite element computations so as to consider both effects listed above in the model over a wide operation range of the electrical drive. The proposed approach is applied to a surface permanent magnet synchronous machine (SM-PMSM), and compared to numerical results obtained by finite element analysis (FEA). An accuracy similar to that of FE simulations is obtained with however the low computation time that is characteristic for analytical models.

APA, Harvard, Vancouver, ISO, and other styles

24

Porto, Fabio, Ramon G. Costa, Ana Maria de C. Moura, and Bernardo Gonçalves. "Modeling and Implementing Scientific Hypothesis." Journal of Database Management 26, no. 2 (April 2015): 1–13. http://dx.doi.org/10.4018/jdm.2015040101.

Full text

Abstract:

Computational Simulations are important tools that enable scientists to study complex phenomena about which few data is available or that require dangerous human interventions. They involve complex and heterogeneous components, including: mathematical equations, hypothesis, computational models and data. In order to support in-silico scientific research this complex environment needs to be modeled and have its data and metadata managed enabling model evolution, prediction analysis and decision-making. This paper proposes a scientific hypothesis conceptual model that allows scientists to represent the phenomenon been investigated, the hypotheses formulated in the attempt to explain it, and provides the ability to store results of experiment simulations with their corresponding provenance metadata. The proposed model supports scientific life-cycle through: provenance management, exchange of hypothesis as data, experiment reproducibility, model steering and simulation result analyses. A cardiovascular numerical simulation illustrates the applicability of the model and an initial implementation using SciDB is discussed.

APA, Harvard, Vancouver, ISO, and other styles

25

Cantrell, Benjamin A., Rolf D. Reitz, Christopher J. Rutland, and Yusuke Immamori. "MS3-1 Strategies for Reducing the Computational Time Required for Diesel Engine Simulations with KIVA(MS: Modeling and Simulation,General Session Papers)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2012.8 (2012): 554–59. http://dx.doi.org/10.1299/jmsesdm.2012.8.554.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Nardini, Giovanni, Antonio Virdis, and Giovanni Stea. "Modeling Network-Controlled Device-to-Device Communications in SimuLTE." Sensors 18, no. 10 (October 19, 2018): 3551. http://dx.doi.org/10.3390/s18103551.

Full text

Abstract:

In Long Term Evolution-Advanced (LTE-A), network-controlled device-to-device (D2D) communications allow User Equipments (UEs) to communicate directly, without involving the Evolved Node-B in data relaying, while the latter still retains control of resource allocation. The above paradigm allows reduced latencies for the UEs and increased resource efficiency for the network operator, and is therefore foreseen to support several services, from Machine-to-machine to vehicular communications. D2D communications introduce research challenges that might affect the performance of applications and upper-layer protocols, hence simulations represent a valuable tool for evaluating these aspects. However, simulating D2D features might pose additional computational burden to the simulation environment. To this aim, a careful modeling is required to reduce computational overhead. In this paper, we describe our modeling of network-controlled D2D communications in SimuLTE, a system-level LTE-A simulation library based on OMNeT++. We describe the core modeling choices of SimuLTE, and show how these allow an easy extension to D2D communications. Moreover, we describe in detail the modeling of specific problems arising with D2D communications, such as scheduling with frequency reuse, connection mode switching and broadcast transmission. We document the computational efficiency of our modeling choices, showing that simulation of D2D communications is not more complex than simulation of classical cellular communications of comparable scale. Results show that the heaviest computational burden of D2D communication lies in estimating the Sidelink channel quality. We show that SimuLTE allows one to evaluate the interplay between D2D communication and end-to-end performance of UDP- and TCP-based services. Moreover, we assess the accuracy of using a binary interference model for frequency reuse, and we evaluate the trade-off between speed of execution and accuracy in modeling the reception probability.

APA, Harvard, Vancouver, ISO, and other styles

27

JANSSON, JOHAN, CLAES JOHNSON, and ANDERS LOGG. "COMPUTATIONAL MODELING OF DYNAMICAL SYSTEMS." Mathematical Models and Methods in Applied Sciences 15, no. 03 (March 2005): 471–81. http://dx.doi.org/10.1142/s0218202505000431.

Full text

Abstract:

In this short note, we discuss the basic approach to computational modeling of dynamical systems. If a dynamical system contains multiple time scales, ranging from very fast to slow, computational solution of the dynamical system can be very costly. By resolving the fast time scales in a short time simulation, a model for the effect of the small time scale variation on large time scales can be determined, making solution possible on a long time interval. This process of computational modeling can be completely automated. Two examples are presented, including a simple model problem oscillating at a time scale of 10–9 computed over the time interval [0,100], and a lattice consisting of large and small point masses.

APA, Harvard, Vancouver, ISO, and other styles

28

Andreini, A., C. Bianchini, and A. Innocenti. "Large Eddy Simulation of a Bluff Body Stabilized Lean Premixed Flame." Journal of Combustion 2014 (2014): 1–18. http://dx.doi.org/10.1155/2014/710254.

Full text

Abstract:

The present study is devoted to verify current capabilities of Large Eddy Simulation (LES) methodology in the modeling of lean premixed flames in the typical turbulent combustion regime of Dry LowNOxgas turbine combustors. A relatively simple reactive test case, presenting all main aspects of turbulent combustion interaction and flame stabilization of gas turbine lean premixed combustors, was chosen as an affordable test to evaluate the feasibility of the technique also in more complex test cases. A comparison between LES and RANS modeling approach is performed in order to discuss modeling requirements, possible gains, and computational overloads associated with the former. Such comparison comprehends a sensitivity study to mesh refinement and combustion model characteristic constants, computational costs, and robustness of the approach. In order to expand the overview on different methods simulations were performed with both commercial and open-source codes switching from quasi-2D to fully 3D computations.

APA, Harvard, Vancouver, ISO, and other styles

29

Han, Jia, and Li Ping Lu. "Multi-Posture Jumps Analysis with Computational Modelling and Simulation Technology." Advanced Materials Research 187 (February 2011): 51–55. http://dx.doi.org/10.4028/www.scientific.net/amr.187.51.

Full text

Abstract:

A computational modeling and simulation method for multi-posture gymnastics jump based on sport biomechanics was improved. Taking tuck jump, pike jump and arched jump as examples, the entire jump phase was seperated into four parts: taking off from bending the knees, airborne, posturing and landing. Then the formulas were developed for modelling. Finally, computational simulation experiment was done with the formulas. The simulation outcomes showed that this method is effective in multi-posture gymnastics jumps analysis.

APA, Harvard, Vancouver, ISO, and other styles

30

Hahn, Luzia, and Peter Eberhard. "Transient Dynamical-Thermal-Optical System Modeling and Simulation." EPJ Web of Conferences 238 (2020): 12001. http://dx.doi.org/10.1051/epjconf/202023812001.

Full text

Abstract:

In this work, methods and procedures are investigated for the holistic simulation of the dynamicalthermal behavior of high-performance optics like lithography objectives. Flexible multibody systems in combination with model order reduction methods, finite element thermal analysis and optical system analyses are used for transient simulations of the dynamical-thermal behavior of optical systems at low computational cost.

APA, Harvard, Vancouver, ISO, and other styles

31

Cremonesi, Francesco, Georg Hager, Gerhard Wellein, and Felix Schürmann. "Analytic performance modeling and analysis of detailed neuron simulations." International Journal of High Performance Computing Applications 34, no. 4 (April 3, 2020): 428–49. http://dx.doi.org/10.1177/1094342020912528.

Full text

Abstract:

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brain tissue at larger scales and with increasingly more biological detail than previously thought possible. The exponential growth of parallel computer performance has been supporting these developments, and at the same time maintainers of neuroscientific simulation code have strived to optimally and efficiently exploit new hardware features. Current state-of-the-art software for the simulation of biological networks has so far been developed using performance engineering practices, but a thorough analysis and modeling of the computational and performance characteristics, especially in the case of morphologically detailed neuron simulations, is lacking. Other computational sciences have successfully used analytic performance engineering, which is based on “white-box,” that is, first-principles performance models, to gain insight on the computational properties of simulation kernels, aid developers in performance optimizations and eventually drive codesign efforts, but to our knowledge a model-based performance analysis of neuron simulations has not yet been conducted. We present a detailed study of the shared-memory performance of morphologically detailed neuron simulations based on the Execution-Cache-Memory performance model. We demonstrate that this model can deliver accurate predictions of the runtime of almost all the kernels that constitute the neuron models under investigation. The gained insight is used to identify the main governing mechanisms underlying performance bottlenecks in the simulation. The implications of this analysis on the optimization of neural simulation software and eventually codesign of future hardware architectures are discussed. In this sense, our work represents a valuable conceptual and quantitative contribution to understanding the performance properties of biological networks simulations.

APA, Harvard, Vancouver, ISO, and other styles

32

Migliavacca, Francesco, and Gabriele Dubini. "Computational modeling of vascular anastomoses." Biomechanics and Modeling in Mechanobiology 3, no. 4 (March 17, 2005): 235–50. http://dx.doi.org/10.1007/s10237-005-0070-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Du, Qiang, Wu Bin Xie, and Su Jun Ma. "Study on a Modeling and Meshing Method in Numerical Simulation for Wind Loads on Antennas." Applied Mechanics and Materials 159 (March 2012): 287–91. http://dx.doi.org/10.4028/www.scientific.net/amm.159.287.

Full text

Abstract:

In this paper, a sort of modeling and meshing method based on the characteristic size of antennas is put forward, which can be used to numerically compute the wind loads. Based on the Reynolds-averaged N-S equations and Renormalization Group k-ε turbulence model (RNG k-ε), the wind loads on antenna are computed in considering of some modeling parameters, such as the sizes of computational domain, grid size. Through the comparison between the results obtained by numerical computation and the ideal value derived by wind tunnel tests, the method of modeling and meshing the computational domain has proved to be effective, and the fitted curves of the drag coefficients show that the computational results for wind loads on antennas will be more accurate if the large sizes of the computational domain and little sizes of the grid are adopted.

APA, Harvard, Vancouver, ISO, and other styles

34

Fiorini, Rodolfo A. "CICT: New Eyes on Computational Competence in Computational Science." ITM Web of Conferences 16 (2018): 01007. http://dx.doi.org/10.1051/itmconf/20181601007.

Full text

Abstract:

Science does not exists to enlighten people's minds only. It mainly exists to show the educated way from quanta to qualia. And that way starts from computational competence. In previous papers published elsewhere, we have already shown that traditional Q Arithmetic can be regarded as a highly sophisticated open logic, powerful and flexible bidirectional formal language of languages, according to "Computational Information Conservation Theory" (CICT) new perspective. This new awareness can offer competitive approach to guide more effective and convenient algorithm development and application to arbitrary multiscale (AMS) biomedical system modeling and simulation. An articulated example on function computational modelling is presented and compared to standard, well-known and traditional approach. Results are critically discussed.

APA, Harvard, Vancouver, ISO, and other styles

35

Rahman, Sk, Adil Rasheed, and Omer San. "A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers." Fluids 3, no. 3 (July 18, 2018): 50. http://dx.doi.org/10.3390/fluids3030050.

Full text

Abstract:

Numerical solution of the incompressible Navier–Stokes equations poses a significant computational challenge due to the solenoidal velocity field constraint. In most computational modeling frameworks, this divergence-free constraint requires the solution of a Poisson equation at every step of the underlying time integration algorithm, which constitutes the major component of the computational expense. In this study, we propose a hybrid analytics procedure combining a data-driven approach with a physics-based simulation technique to accelerate the computation of incompressible flows. In our approach, proper orthogonal basis functions are generated to be used in solving the Poisson equation in a reduced order space. Since the time integration of the advection–diffusion equation part of the physics-based model is computationally inexpensive in a typical incompressible flow solver, it is retained in the full order space to represent the dynamics more accurately. Encoder and decoder interface conditions are provided by incorporating the elliptic constraint along with the data exchange between the full order and reduced order spaces. We investigate the feasibility of the proposed method by solving the Taylor–Green vortex decaying problem, and it is found that a remarkable speed-up can be achieved while retaining a similar accuracy with respect to the full order model.

APA, Harvard, Vancouver, ISO, and other styles

36

Kothari, Kesar Mal, Udayakumar Rajamanickam, Ram Karthikeyan, and Vishweshwar Samba. "Modeling and Computational Simulation of Cable Pulling Winch Machine." International Review of Mechanical Engineering (IREME) 14, no. 8 (August 31, 2020): 543. http://dx.doi.org/10.15866/ireme.v14i8.18944.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Yang, Xin, Robert J. Rees, William Conway, Graeme Puxty, Qi Yang, and David A. Winkler. "Computational Modeling and Simulation of CO2Capture by Aqueous Amines." Chemical Reviews 117, no. 14 (May 18, 2017): 9524–93. http://dx.doi.org/10.1021/acs.chemrev.6b00662.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Maghsoudi-Ganjeh, Mohammad, Liqiang Lin, Xingzi Yang, and Xiaowei Zeng. "Computational modeling and simulation of bioinspired nacre-like composites." Journal of Materials Research 36, no. 13 (February 16, 2021): 2651–61. http://dx.doi.org/10.1557/s43578-021-00124-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

El-Keib, Abdurrahim, and Ibrahim Sadek. "Modeling, simulation and applied optimization." Applied Mathematics and Computation 206, no. 2 (December 2008): 509. http://dx.doi.org/10.1016/j.amc.2008.06.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

WANG, BAOMIN, TONGCHUAN GAO, and PAUL W. LEU. "COMPUTATIONAL SIMULATIONS OF NANOSTRUCTURED SOLAR CELLS." Nano LIFE 02, no. 02 (June 2012): 1230007. http://dx.doi.org/10.1142/s1793984411000517.

Full text

Abstract:

Simulation methods are vital to the development of next-generation solar cells such as plasmonic, organic, nanophotonic, and semiconductor nanostructure solar cells. Simulations are predictive of material properties such that they may be used to rapidly screen new materials and understand the physical mechanisms of enhanced performance. They can be used to guide experiments or to help understand results obtained in experiments. In this paper, we review simulation methods for modeling the classical optical and electronic transport properties of nanostructured solar cells. We discuss different techniques for light trapping with an emphasis on silicon nanostructures and silicon thin films integrated with nanophotonics and plasmonics.

APA, Harvard, Vancouver, ISO, and other styles

41

Ramos, J. I. "Computational geometry: curve and surface modeling." Applied Mathematical Modelling 14, no. 9 (September 1990): 501. http://dx.doi.org/10.1016/0307-904x(90)90177-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Xiong, Jie, Song Zhang, and Yuantao Chen. "Cloud-based Geophysical Inversion Modeling Using GNU Octave and MatlabMPI on Amazon EC2." International Journal of Online Engineering (iJOE) 13, no. 09 (September 22, 2017): 101. http://dx.doi.org/10.3991/ijoe.v13i09.7468.

Full text

Abstract:

<p class="16">Computer modeling and simulation can be very demanding in terms of computational resources. Cloud computing has opened up new avenues for the scientific researchers with limited resources to do complicated simulation. In order to investigate whether cloud computing is suitable for modeling and simulation, we first describe how to build a cloud-based modeling and simulation platform using GNU Octave and MatlabMPI on the Amazon Elastic Compute Cloud (EC2). Then, we evaluation its performance taking the geophysical inversion modeling as an example. The results show that the cloud-based modeling and simulation platform is suitable for basic modeling for free. It can provide much more higher performance with acceptable price. Furthermore, we can cut down the cost by employing the Spot instance without losing the computation performance.</p>

APA, Harvard, Vancouver, ISO, and other styles

43

Tang, He Ran, Zheng Yu Wu, Chen Xue, and Zhi Li. "Computational Experiments Applied for Space System Simulation." Applied Mechanics and Materials 529 (June 2014): 743–47. http://dx.doi.org/10.4028/www.scientific.net/amm.529.743.

Full text

Abstract:

Parallel systems belong to the systems science. In 2004, Fei-Yue Wang proposed parallel systems and ACP theory that artificial society for modeling, computational experiments for analysis, and parallel execution for control. This paper re-expound parallel systems theory by the characteristics of space system and build space system model using computational experiments in the ACP theory and simulate space system by HPC method.

APA, Harvard, Vancouver, ISO, and other styles

44

Hinkle, Kevin, Xiaoyu Wang, Xuehong Gu, Cynthia Jameson, and Sohail Murad. "Computational Molecular Modeling of Transport Processes in Nanoporous Membranes." Processes 6, no. 8 (August 9, 2018): 124. http://dx.doi.org/10.3390/pr6080124.

Full text

Abstract:

In this report we have discussed the important role of molecular modeling, especially the use of the molecular dynamics method, in investigating transport processes in nanoporous materials such as membranes. With the availability of high performance computers, molecular modeling can now be used to study rather complex systems at a fraction of the cost or time requirements of experimental studies. Molecular modeling techniques have the advantage of being able to access spatial and temporal resolution which are difficult to reach in experimental studies. For example, sub-Angstrom level spatial resolution is very accessible as is sub-femtosecond temporal resolution. Due to these advantages, simulation can play two important roles: Firstly because of the increased spatial and temporal resolution, it can help understand phenomena not well understood. As an example, we discuss the study of reverse osmosis processes. Before simulations were used it was thought the separation of water from salt was purely a coulombic phenomenon. However, by applying molecular simulation techniques, it was clearly demonstrated that the solvation of ions made the separation in effect a steric separation and it was the flux which was strongly affected by the coulombic interactions between water and the membrane surface. Additionally, because of their relatively low cost and quick turnaround (by using multiple processor systems now increasingly available) simulations can be a useful screening tool to identify membranes for a potential application. To this end, we have described our studies in determining the most suitable zeolite membrane for redox flow battery applications. As computing facilities become more widely available and new computational methods are developed, we believe molecular modeling will become a key tool in the study of transport processes in nanoporous materials.

APA, Harvard, Vancouver, ISO, and other styles

45

Talaminos, Alejandro, Laura M. Roa, Antonio Álvarez, and Javier Reina. "Computational Hemodynamic Modeling of the Cardiovascular System." International Journal of System Dynamics Applications 3, no. 2 (April 2014): 81–98. http://dx.doi.org/10.4018/ijsda.2014040106.

Full text

Abstract:

Computational methods and modeling are widely used in many fields to study the dynamic behaviour of different phenomena. Currently, the use of these models is an accepted practice in the biomedical field. One of the most significant efforts in this direction is applied to the simulation and prediction of pathophysiological conditions that can affect different systems of the human body. In this work, the design and development of a computational model of the human cardiovascular system is proposed. The structure of the model has been built from a physiological base, considering some of the mechanisms associated to the cardiovascular system. Thus, the aim of the model is the prediction, heartbeat by heartbeat, of some hemodynamic variables from the cardiovascular system, in different pathophysiological cardiac situations. A modular approach to development of the model has been considered in order to include new knowledge that could force the model's hemodynamic. The model has been validated comparing the results obtained with hemodynamic values published by other authors. The results show the usefulness and applicability of the model developed. Thus, different simulations of some cardiac pathologies and physical exercise situations are presented, together with the dynamic behaviors of the different variables considered in the model.

APA, Harvard, Vancouver, ISO, and other styles

46

Martínez-Cañada, Pablo, Christian Morillas, Begoña Pino, Eduardo Ros, and Francisco Pelayo. "A Computational Framework for Realistic Retina Modeling." International Journal of Neural Systems 26, no. 07 (August 24, 2016): 1650030. http://dx.doi.org/10.1142/s0129065716500301.

Full text

Abstract:

Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different visual processing pathways. While many of these models share common computational stages, previous efforts have been more focused on fitting specific retina functions rather than generalizing them beyond a particular model. Here, we define a set of computational retinal microcircuits that can be used as basic building blocks for the modeling of different retina mechanisms. To validate the hypothesis that similar processing structures may be repeatedly found in different retina functions, we implemented a series of retina models simply by combining these computational retinal microcircuits. Accuracy of the retina models for capturing neural behavior was assessed by fitting published electrophysiological recordings that characterize some of the best-known phenomena observed in the retina: adaptation to the mean light intensity and temporal contrast, and differential motion sensitivity. The retinal microcircuits are part of a new software platform for efficient computational retina modeling from single-cell to large-scale levels. It includes an interface with spiking neural networks that allows simulation of the spiking response of ganglion cells and integration with models of higher visual areas.

APA, Harvard, Vancouver, ISO, and other styles

47

Fouladinejad, Nariman, Nima Fouladinejad, Mohamad Kasim Abdul Jalil, and Jamaludin Mohd Taib. "Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations." Complexity 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/1686230.

Full text

Abstract:

The development of complex simulation systems is extremely costly as it requires high computational capability and expensive hardware. As cost is one of the main issues in developing simulation components, achieving real-time simulation is challenging and it often leads to intensive computational burdens. Overcoming the computational burden in a multidisciplinary simulation system that has several subsystems is essential in producing inexpensive real-time simulation. In this paper, a surrogate-based computational framework was proposed to reduce the computational cost in a high-dimensional model while maintaining accurate simulation results. Several well-known metamodeling techniques were used in creating a global surrogate model. Decomposition approaches were also used to simplify the complexities of the system and to guide the surrogate modeling processes. In addition, a case study was provided to validate the proposed approach. A surrogate-based vehicle dynamic model (SBVDM) was developed to reduce computational delay in a real-time driving simulator. The results showed that the developed surrogate-based model was able to significantly reduce the computing costs, unlike the expensive computational model. The response time in surrogate-based simulation was considerably faster than the conventional model. Therefore, the proposed framework can be used in developing low-cost simulation systems while yielding high fidelity and fast computational output.

APA, Harvard, Vancouver, ISO, and other styles

48

Zhao, Fu, Ping Wang, Yan Jue Gong, Yu De Liu, and Hong Bin Xin. "Airflow Simulation of the Huge Telescope Assemble." Key Engineering Materials 439-440 (June 2010): 880–83. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.880.

Full text

Abstract:

With the three-dimensional computational fluid dynamics method, the airflow effects over the huge telescope assemble is investigated in this article. The distributing of velocity field and natural convection are studied by modeling and simulating the turbulent airflow of the huge telescope. Numerical simulations show the best observation direction is the 90o angle between the main optics axis and the horizontal line in which the air velocity distribution is the least. And the air temperature distribution and uniformity around the telescope are also provided by simulation.

APA, Harvard, Vancouver, ISO, and other styles

49

Ribeiro, R. L. L., A. B. Mariano, J. A. Souza, and J. V. C. Vargas. "TRANSIENT MODELING AND SIMULATION OF COMPACT PHOTOBIOREACTORS." Revista de Engenharia Térmica 7, no. 2 (December 31, 2008): 66. http://dx.doi.org/10.5380/reterm.v7i2.61780.

Full text

Abstract:

In this paper, a mathematical model is developed to make possible the simulation of microalgae growth and its dependency on medium temperature and light intensity. The model is utilized to simulate a compact photobioreactor response in time with physicochemical parameters of the microalgae Phaeodactylum tricornutum. The model allows for the prediction of the transient and local evolution of the biomass concentration in the photobioreactor with low computational time. As a result, the model is expected to be a useful tool for simulation, design, and optimization of compact photobioreactors. Numerical solutions of the mathematical model are presented for the visualization of biomass concentration and total production. Several simulations were performed with temperatures ranging from 274 K to 300 K , and the maximum biomass production was achieved with an operating temperature of 294 K.

APA, Harvard, Vancouver, ISO, and other styles

50

He, Jincong, and Louis J. Durlofsky. "Reduced-Order Modeling for Compositional Simulation by Use of Trajectory Piecewise Linearization." SPE Journal 19, no. 05 (March 10, 2014): 858–72. http://dx.doi.org/10.2118/163634-pa.

Full text

Abstract:

Summary Compositional simulation can be very demanding computationally as a result of the potentially large number of system unknowns and the intrinsic nonlinearity of typical problems. In this work, we develop a reduced-order modeling procedure for compositional simulation. The technique combines trajectory piecewise linearization (TPWL) and proper orthogonal decomposition (POD) to provide a highly efficient surrogate model. The compositional POD-TPWL method expresses new solutions in terms of linearizations around states generated (and saved) during previously simulated “training” runs. High-dimensional states are projected (optimally) into a low-dimensional subspace by use of POD. The compositional POD-TPWL model is based on a molar formulation that uses pressure and overall component mole fractions as the primary unknowns. Several new POD-TPWL treatments, including the use of a Petrov-Galerkin projection to reduce the number of equations (rather than the Galerkin projection, which was applied previously), and a new procedure for determining which saved state to use for linearization are incorporated into the method. Results are presented for heterogeneous 3D reservoir models containing oil and gas phases with up to six hydrocarbon components. Reasonably close agreement between full-order reference solutions and compositional POD-TPWL simulations is demonstrated for the cases considered. Construction of the POD-TPWL model requires preprocessing overhead computations equivalent to approximately three or four full-order runs. Runtime speedups by use of POD-TPWL are, however, very significant—up to a factor of 800 for the cases considered. The POD-TPWL model is thus well suited for use in computational optimization, in which many simulations must be performed, and we present an example demonstrating its application for such a problem.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!