Pages that link to "Item:Q2583396"

The following pages link to Equation-free, coarse-grained multiscale computation: enabling microscopic simulators to perform system-level analysis (Q2583396):

Displaying 50 items.

• A high-order relaxation method with projective integration for solving nonlinear systems of hyperbolic conservation laws (Q1686432) (← links)
• Hidden physics models: machine learning of nonlinear partial differential equations (Q1699464) (← links)
• Computing singularly perturbed differential equations (Q1700745) (← links)
• Multiscale analysis of collective motion and decision-making in swarms: an advection-diffusion equation with memory approach (Q1719770) (← links)
• Making noise: emergent stochasticity in collective motion (Q1733007) (← links)
• Efficient methods for the estimation of homogenized coefficients (Q1740577) (← links)
• From molecular dynamics to coarse self-similar solutions: a simple example using equation-free computation (Q1763569) (← links)
• Equation-free/Galerkin-free POD-assisted computation of incompressible flows (Q1781587) (← links)
• Adaptive detection of instabilities: An experimental feasibility study (Q1852647) (← links)
• Numerical microlocal analysis of harmonic wavefields (Q1883506) (← links)
• A computational strategy for multiscale systems with applications to Lorenz 96 model (Q1887751) (← links)
• Choose inter-element coupling to preserve self-adjoint dynamics in multiscale modelling and computation (Q1957189) (← links)
• Gradient extension of classical material models: from nuclear \& condensed matter scales to Earth \& cosmological scales (Q1982958) (← links)
• Constraint energy minimizing generalized multiscale finite element method (Q1986251) (← links)
• Simulation-based design: overview about related works (Q1997155) (← links)
• Data-driven nonintrusive reduced order modeling for dynamical systems with moving boundaries using Gaussian process regression (Q2020804) (← links)
• A toolbox of equation-free functions in Matlab/Octave for efficient system level simulation (Q2041530) (← links)
• On a hybrid continuum-kinetic model for complex fluids (Q2081128) (← links)
• Multiresolution convolutional autoencoders (Q2112504) (← links)
• Poincaré maps for multiscale physics discovery and nonlinear Floquet theory (Q2115543) (← links)
• A numerical method for the approximation of stable and unstable manifolds of microscopic simulators (Q2116058) (← links)
• Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems (Q2125437) (← links)
• Image inversion and uncertainty quantification for constitutive laws of pattern formation (Q2131064) (← links)
• Explicit physics-informed neural networks for nonlinear closure: the case of transport in tissues (Q2136464) (← links)
• Projective and telescopic projective integration for non-linear kinetic mixtures (Q2139003) (← links)
• Numerical bifurcation analysis of PDEs from lattice Boltzmann model simulations: a parsimonious machine learning approach (Q2149520) (← links)
• A multi-scale method for complex flows of non-Newtonian fluids (Q2167637) (← links)
• Analysis of a micro-macro acceleration method with minimum relative entropy moment matching (Q2175337) (← links)
• Manifold learning for accelerating coarse-grained optimization (Q2194441) (← links)
• Global phase space structures in a model of passive descent (Q2206549) (← links)
• Simply improved averaging for coupled oscillators and weakly nonlinear waves (Q2207321) (← links)
• Heterogeneous animal group models and their group-level alignment dynamics: an equation-free approach (Q2210025) (← links)
• Numerical aspects for approximating governing equations using data (Q2214649) (← links)
• Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: application to hydrodynamics (Q2222255) (← links)
• Data driven governing equations approximation using deep neural networks (Q2222362) (← links)
• Convergence and stability of a micro-macro acceleration method: linear slow-fast stochastic differential equations with additive noise (Q2223803) (← links)
• Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model (Q2228595) (← links)
• A lifting relation from macroscopic variables to mesoscopic variables in lattice Boltzmann method: derivation, numerical assessments and coupling computations validation (Q2249538) (← links)
• Proper orthogonal decomposition method for multiscale elliptic PDEs with random coefficients (Q2297081) (← links)
• On convergence of higher order schemes for the projective integration method for stiff ordinary differential equations (Q2349539) (← links)
• Modeling disease transmission near eradication: an equation free approach (Q2356762) (← links)
• Macroscopic coherent structures in a stochastic neural network: from interface dynamics to coarse-grained bifurcation analysis (Q2408052) (← links)
• A fuzzy-stochastic multiscale model for fiber composites, a one-dimensional study (Q2417567) (← links)
• A symbolic transformation language and its application to a multiscale method (Q2447638) (← links)
• Stochastic upscaling in solid mechanics: an excercise in machine learning (Q2456690) (← links)
• Equation free projective integration: a multiscale method applied to a plasma ion acoustic wave (Q2456708) (← links)
• An equation-free approach to analyzing heterogeneous cell population dynamics (Q2460426) (← links)
• Accuracy analysis of acceleration schemes for stiff multiscale problems (Q2475388) (← links)
• Periodically-forced finite networks of heterogeneous globally-coupled oscillators: a low-di\-men\-sion\-al approach (Q2477691) (← links)
• An equation-free computational approach for extracting population-level behavior from individual-based models of biological dispersal (Q2489660) (← links)