Results 1 to 10 of about 2,515,424 (247)

Multiscale Computing with the Multiscale Modeling Library and Runtime Environment

Procedia Computer Science, 2013
AbstractWe introduce a software tool to simulate multiscale models: the Multiscale Coupling Library and Environment 2 (MUSCLE 2). MUSCLE 2 is a component-based modeling tool inspired by the multiscale modeling and simulation framework, with an easy-to-use API which supports Java, C++, C, and Fortran.
Derek Groen, Joris Borgdorff, Mariusz Mamoński   +2 more
exaly   +5 more sources

Investigating the effects of intersection flow localization in equivalent-continuum-based upscaling of flow in discrete fracture networks [PDF]

Solid Earth, 2021
Predicting effective permeabilities of fractured rock masses is a crucial component of reservoir modeling. Its often realized with the discrete fracture network (DFN) method, whereby single-phase incompressible fluid flow is modeled in discrete ...
M. O. Kottwitz, M. O. Kottwitz, A. A. Popov, A. A. Popov, S. Abe, B. J. P. Kaus, B. J. P. Kaus   +6 more
doaj   +1 more source

Data‐Driven Stochastic Lie Transport Modeling of the 2D Euler Equations

Journal of Advances in Modeling Earth Systems, 2023
In this paper, we propose and assess several stochastic parametrizations for data‐driven modeling of the two‐dimensional Euler equations using coarse‐grid SPDEs.
Sagy R. Ephrati, Paolo Cifani, Erwin Luesink, Bernard J. Geurts   +3 more
doaj   +1 more source

Multiscale Cancer Modeling [PDF]

Annual Review of Biomedical Engineering, 2011
Simulating cancer behavior across multiple biological scales in space and time, i.e., multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine hypotheses, focus experiments, and enable more accurate predictions. A growing number of examples illustrate the value of this approach in providing quantitative insights in the
Deisboeck, Thomas S., Wang, Zhihui, Macklin, Paul, Cristini, Vittorio   +3 more
openaire   +3 more sources

Multiscale brain modelling [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2005
A central difficulty of brain modelling is to span the range of spatio-temporal scales from synapses to the whole brain. This paper overviews results from a recent model of the generation of brain electrical activity that incorporates both basic microscopic neurophysiology and large-scale brain anatomy to predict brain electrical activity at scales ...
P A, Robinson, C J, Rennie, D L, Rowe, S C, O'Connor, E, Gordon   +4 more
openaire   +2 more sources

High energy barriers for edge dislocation motion in body-centered cubic high entropy alloys

npj Computational Materials, 2021
Recent theory proposes that edge dislocations in random body-centered cubic (BCC) high entropy alloys have high barriers for motion, conveying high strengths up to high temperatures.
R. E. Kubilay, A. Ghafarollahi, F. Maresca, W. A. Curtin   +3 more
doaj   +1 more source

Partial Learning Using Partially Explicit Discretization for Multicontinuum/Multiscale Problems with Limited Observation: Dual Continuum Heterogeneous Poroelastic Media Simulation

Mathematics, 2022
In this paper, we consider the poroelasticity problem in heterogeneous media. The mathematical model is described by a coupled system of equations for displacement and pressure in the coupled dual continuum porous media.
Aleksei Tyrylgin, Sergei Stepanov, Dmitry Ammosov, Aleksandr Grigorev, Maria Vasilyeva   +4 more
doaj   +1 more source

Origins of the change in mechanical strength of silicon/gold nanocomposites during irradiation

Scientific Reports, 2021
Silicon-based layered nanocomposites, comprised of covalent-metal interfaces, have demonstrated elevated resistance to radiation. The amorphization of the crystalline silicon sublayer during irradiation and/or heating can provide an additional mechanism ...
Elton Y. Chen, Cameron P. Hopper, Raghuram R. Santhapuram, Rémi Dingreville, Arun K. Nair   +4 more
doaj   +1 more source

Multiscale models of angiogenesis [PDF]

IEEE Engineering in Medicine and Biology Magazine, 2009
Vascular disease, cancer, stroke, neurodegeneration, diabetes, inflammation, asthma, obesity, arthritis--the list of conditions that involve angiogenesis reads like main chapters in a book on pathology. Angiogenesis, the growth of capillaries from preexisting vessels, also occurs in normal physiology, in response to exercise or in the process of wound ...
Amina A, Qutub, Feilim, Mac Gabhann, Emmanouil D, Karagiannis, Prakash, Vempati, Aleksander S, Popel   +4 more
openaire   +2 more sources

Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting

Nature Communications, 2021
In machine learning approaches relevant for chemical physics and material science, neural network potentials can be trained on the experimental data. The authors propose a training method applying trajectory reweighting instead of direct backpropagation ...
Stephan Thaler, Julija Zavadlav
doaj   +1 more source