Results 31 to 40 of about 1,287,681 (259)
Low-Order Electrochemical State Estimation for Li-Ion Batteries
Algorithms, 2023 Batteries are complex systems involving spatially distributed microscopic mechanisms on different time scales whose adequate interplay is essential to ensure a desired functioning.
Higuatzi Moreno, Alexander Schaum
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Reduced order models for thermally coupled low Mach flows
Advanced Modeling and Simulation in Engineering Sciences, 2018 In this paper we present a collection of techniques used to formulate a projection-based reduced order model (ROM) for zero Mach limit thermally coupled Navier–Stokes equations. The formulation derives from a standard proper orthogonal decomposition (POD)
Ricardo Reyes +3 more
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Generative adversarial reduced order modelling
Scientific ReportsAbstractIn this work, we present GAROM, a new approach for reduced order modeling (ROM) based on generative adversarial networks (GANs). GANs attempt to learn to generate data with the same statistics of the underlying distribution of a dataset, using two neural networks, namely discriminator and generator.
Coscia, Dario +2 more
openaire +5 more sources
Regularization method for calibrated POD reduced-order models
MATEC Web of Conferences, 2014 In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow ...
El Majd Badr Abou, Cordier Laurent
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Physics-based manifold learning in scaffolds for tissue engineering: Application to inverse problems
Frontiers in Materials, 2022 In the field of bone regeneration, insertion of scaffolds favours bone formation by triggering the differentiation of mesenchymal cells into osteoblasts.
Alba Muixí +5 more
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New Regularization Method for Calibrated POD Reduced-Order Models
Mathematical Modelling and Analysis, 2016 Reduced-order models based on Proper orthogonal decomposition are known to suffer from a lack of accuracy due to the truncation effect introduced by keeping only the most energetic modes.
Badr Abou El Majd, Laurent Cordier
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Characteristics of linear modal instabilities in hypersonic flows with detached shock waves
Results in Engineering, 2021 A preliminary study on the linear instabilities present in a defined hypersonic flow over a blunt object is analyzed in this work. Such flow instabilities are defined in the detached shock wave and the defined shock region between the shock wave and the ...
José M. Pérez, Cristina Jimenez
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Reduced order models based on pod method for schrödinger equations
Mathematical Modelling and Analysis, 2013 Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė +3 more
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Modelling of variable-speed refrigeration for fast-frequency control in low-inertia systems
IET Smart Grid, 2020 In modern power systems, shiftable loads contribute to the flexibility needed to increase robustness and ensure security. Thermal loads are among the most promising candidates for providing such service due to the large thermal storage time constants ...
Johanna Vorwerk +4 more
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Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source