Results 11 to 20 of about 12,751,481 (301)
Multiscale Methods for Signal Selection in Single-Cell Data [PDF]
Entropy, 2022 Analysis of single-cell transcriptomics often relies on clustering cells and then performing differential gene expression (DGE) to identify genes that vary between these clusters.
Renee S. Hoekzema +6 more
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A Multiscale Reduced Basis Method for the Schrödinger Equation With Multiscale and Random Potentials [PDF]
Multiscale Modeling & Simulation, 2020 The semiclassical Schrödinger equation with multiscale and random potentials often appears when studying electron dynamics in heterogeneous quantum systems. As time evolves, the wavefunction develops high-frequency oscillations in both the physical space and the random space, which poses severe challenges for numerical methods.
Jingrun Chen +2 more
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Multiscale Methods for Composites: A Review
Archives of Computational Methods in Engineering, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kanouté, P. +3 more
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Multiscale simulation strategies and mesoscale modelling of gas and liquid flows [PDF]
, 2009 This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the ...
2nd Micro and Nano Flows Conference (MNF2009) +2 more
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Computational Multiscale Methods [PDF]
Oberwolfach ReportsMany scientific and engineering problems exhibit complex interactions over a wide range of inseparable scales in space and time. Direct numerical simulations to solve such multiscale problems are often beyond current computational capabilities. The difficulties are exacerbated by the presence of uncertainty, randomness, and disorder and are hardly ...
Björn Engquist +3 more
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A potential field geophysical study to image a Potash resource through Depth from Extreme Points, Ghareh-Aghaj deposit in NW of Iran [PDF]
International Journal of Mining and Geo-Engineering, 2023 Based on magnetic susceptibility and density contrast models, the final purpose of analyzing potential field data is to estimate the parameters of the sought source, such as depth, structural index, horizontal location, and physical characteristics ...
Mahya Mehrvash +2 more
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Remote Sensing, 2022 In this study, we describe new advances in the multiscale methodology to allow a more realistic interpretation of volcanic deformation fields by investigating geometrically irregular bodies and multi-source scenarios. We propose an integrated approach to
Andrea Barone +4 more
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The heterogeneous multiscale method [PDF]
Acta Numerica, 2012 The heterogeneous multiscale method (HMM), a general framework for designing multiscale algorithms, is reviewed. Emphasis is given to the error analysis that comes naturally with the framework. Examples of finite element and finite difference HMM are presented.
Assyr Abdulle +3 more
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Hopf bifurcation and patterns in a modified SIR model
Frontiers in Physics, 2023 Infectious diseases have constantly threatened human safety because the diffusion of the susceptible and infected may make more individuals infected and even die. In this paper, a modified SIR model with both external stimulus and diffusion is considered
Wenjie Yang +3 more
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Stochastic finite elements: Where is the physics? [PDF]
Theoretical and Applied Mechanics, 2011 The micromechanics based on the Hill-Mandel condition indicates that the majority of stochastic finite element methods hinge on random field (RF) models of material properties (such as Hooke’s law) having no physical content, or even at odds with ...
Ostoja-Starzewski Martin
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