Results 251 to 260 of about 4,710,511 (291)
Identification of Molecular Pathways Underlying Mn(II) Oxidation in Pseudomonas resinovorans. [PDF]
Environ MicrobiolPiazza A +5 more
europepmc +1 more source
Casting Light on the Regulation of Platelet Reactivity by Calcitriol. [PDF]
JACC Basic Transl SciBaaten CCFMJ.
europepmc +1 more source
Hyper-Reduction Over Nonlinear Manifolds for Large Nonlinear Mechanical Systems [PDF]
Journal of Computational and Nonlinear Dynamics, 2019 Common trends in model reduction of large nonlinear finite element (FE)-discretized systems involve Galerkin projection of the governing equations onto a low-dimensional linear subspace. Though this reduces the number of unknowns in the system, the computational cost for obtaining the reduced solution could still be high due to the prohibitive ...
Paolo Tiso, Shobhit Jain
exaly +6 more sources
SIAM Journal of Scientific Computing, 2023 Abstract. This work proposes a hyper-reduction method for nonlinear parametric dynamical systems characterized by gradient fields such as Hamiltonian systems and gradient flows. The gradient structure is associated with conservation of invariants or with dissipation and hence plays a crucial role in the description of the physical ...
Federico Vismara
exaly +4 more sources
Adaptive Hyper Reduction for Additive Manufacturing Thermal Fluid Analysis
Computer Methods in Applied Mechanics and Engineering, 2020 Thermal fluid coupled analysis is essential to enable an accurate temperature prediction in additive manufacturing. However, numerical simulations of this type are time-consuming, due to the high non-linearity, the underlying large mesh size and the small time step constraints. This paper presents a novel adaptive hyper reduction method for speeding up
Wing Kam Liu, Gan Zhengtao, Ye Lu
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Estimation of the Validity Domain of Hyper-Reduction Approximations in Generalized Standard Elastoviscoplasticity [PDF]
Advanced Modeling and Simulation in Engineering Sciences, 2015 Background We propose an a posteriori estimator of the error of hyper-reduced predictions for elastoviscoplastic problems. For a given fixed mesh, this error estimator aims to forecast the validity domain in the parameter space, of hyper-reduction approximations.
Laurent Gallimard, David Ryckelynck
exaly +5 more sources