Results 91 to 100 of about 113,908 (298)
Advanced Intelligent Systems, EarlyView.A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong +3 more
wiley +1 more source
Decomposition Methods For a Piv Data Analysis with Application to a Boundary Layer Separation Dynamics [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2010 Separation of the turbulent boundary layer (BL) on a flat plate under adverse pressure gradient was studied experimentally using Time-Resolved PIV technique. The results of spatio-temporal analysis of flow-field in the separation zone are presented. For
Václav URUBA
doaj
Applied Sciences, 2020 The transient proper orthogonal decomposition (TPOD) method is applied for order reduction in the rotor-bearing system with the coupling faults in this paper.
Kuan Lu +6 more
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MODEL REDUCTION METHODS IN OPTION PRICING [PDF]
In this work we introduce the Proper Orthogonal Decomposition (POD)approach to the valuation of contingent claims for one–dimensional price models.First, we present the POD in the context of an abstract Hilbert space and we givean application for the ...
Antonio Falcó +2 more
core
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT The objective of the current research is to characterize the thermal performance in micropolar fluid flows on a vertically elongated porous sheet in the presence of buoyancy forces. Thus, the motivation of this study is to improve the understanding of buoyancy‐driven micropolar fluid flows through porous media, which are relevant to advanced ...
T. Venu, MD. Shamshuddin, S. O. Salawu
wiley +1 more source
Analysis of Stationary Random Vibrating Systems Using Smooth Decomposition
Shock and Vibration, 2013 A modified Karhunen-Loève Decomposition/Proper Orthogonal Decomposition method, named Smooth Decomposition (SD) (also named smooth Karhunen-Loève decomposition), was recently introduced to analyze stationary random signal.
Sergio Bellizzi, Rubens Sampaio
doaj +1 more source
Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Advanced Physics Research, EarlyView.Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley +1 more source
Applied Sciences, 2018 A centrifugal compressor is required to increase aerodynamic efficiency, ensure structural integrity, and reduce processing costs. This paper presents a dimension reduction technique based on proper orthogonal decomposition (POD) in combination with an ...
Lizhang Zhang +3 more
doaj +1 more source
Nanomaterial‐based immune therapeutic strategies in neurodegenerative diseases
BMEMat, EarlyView.This review highlights the immunomodulatory potential of nanomaterials (NMs) in treating neurodegenerative diseases (NDs). It focuses on their roles in regulating innate and adaptive immune responses to maintain immune homeostasis. By providing insights into these mechanisms, the review lays the groundwork for innovative NMs therapeutic strategies to ...
Xinru Zhou +6 more
wiley +1 more source
, 2015 In this paper we study the approximation of a distributed optimal control problem for linear para\-bolic PDEs with model order reduction based on Proper Orthogonal Decomposition (POD-MOR).
Alla, Alessandro +2 more
core +1 more source