Results 31 to 40 of about 110,928 (311)
Computation, 2020 In this paper, we consider a coupled system of equations that describes simplified magnetohydrodynamics (MHD) problem in perforated domains. We construct a fine grid that resolves the perforations on the grid level in order to use a traditional ...
Valentin Alekseev +4 more
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Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations
Mathematics, 2020 In this paper, we investigate and design multiscale simulations for stochastic multiscale PDEs. As for the space, we consider a coarse grid and a known multiscale method, the generalized multiscale finite element method (GMsFEM).
Zecheng Zhang +3 more
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Individualized Prediction of Colorectal Cancer Metastasis Using a Radiogenomics Approach
Frontiers in Oncology, 2021 Objectives: To evaluate whether incorporating the radiomics, genomics, and clinical features allows prediction of metastasis in colorectal cancer (CRC) and to develop a preoperative nomogram for predicting metastasis.Methods: We retrospectively analyzed ...
Qin Liu +11 more
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First-principles statistical mechanics study of the stability of a sub-nanometer thin surface oxide in reactive environments: CO oxidation at Pd(100) [PDF]
, 2006 We employ a multiscale modeling approach to study the surface structure and composition of a Pd(100) model catalyst in reactive environments. Under gas phase conditions representative of technological CO oxidation (~1 atm, 300-600 K) we find the system ...
Jutta Rogal +3 more
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Model Reduction and Coarse-Graining Approaches for Multiscale Phenomena [PDF]
, 2006 Model reduction and coarse-graining are important in many areas of science and engineering. How does a system with many degrees of freedom become one with fewer? How can a reversible micro-description be adapted to the dissipative macroscopic model? These crucial questions, as well as many other related problems, are discussed in this book.
Gorban, Alexander N. +4 more
openaire +1 more source
Randomized Local Model Order Reduction [PDF]
, 2018 In this paper we propose local approximation spaces for localized model order reduction procedures such as domain decomposition and multiscale methods.
Buhr, Andreas, Smetana, Kathrin
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Mathematics, 2023 In this work, we consider a polymer flooding process in heterogeneous media. A system of equations for pressure, water saturation, and polymer concentration describes a mathematical model.
Maria Vasilyeva, Denis Spiridonov
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Multiscale YOLOv5-AFAM-Based Infrared Dim-Small-Target Detection
Applied Sciences, 2023 Infrared detection plays an important role in the military, aerospace, and other fields, which has the advantages of all-weather, high stealth, and strong anti-interference.
Yuexing Wang +4 more
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Optimal control of multiscale systems using reduced-order models [PDF]
, 2014 We study optimal control of diffusions with slow and fast variables and address a question raised by practitioners: is it possible to first eliminate the fast variables before solving the optimal control problem and then use the optimal control computed ...
Hartmann, Carsten +3 more
core +5 more sources
From Domain Decomposition to Model Reduction for Large Nonlinear Structures
Comptes Rendus. Mécanique, 2023 The numerical simulation of multiscale and multiphysics problems requires efficient tools for spatial localization and model reduction. A general strategy combining Domain Decomposition and Nonuniform Transformation Field Analysis (NTFA) is proposed ...
Leturcq, Bertrand, Le Tallec, Patrick
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