Results 71 to 80 of about 137,250 (253)
Analysis of astrometric catalogues with vector spherical harmonics
, 2012 Comparison of stellar catalogues with position and proper motion components using a decomposition on a set of orthogonal vector spherical harmonics. We show the theoretical and practical advantages of this technique as a result of invariance properties ...
Klioner, Sergei, Mignard, Francois
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Asymptotic Stability of POD based Model Predictive Control for a semilinear parabolic PDE [PDF]
, 2013 In this article a stabilizing feedback control is computed for a semilinear parabolic partial differential equation utilizing a nonlinear model predictive (NMPC) method.
Alla, Alessandro, Volkwein, Stefan
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Advanced Science, EarlyView.Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu +9 more
wiley +1 more source
Thermal field reconstruction and compressive sensing using proper orthogonal decomposition
Frontiers in Energy ResearchModel order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data.
John Matulis, Hitesh Bindra
doaj +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]
, 2014 In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches,
CLENET, Stéphane, HENNERON, Thomas
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Robust spectral proper orthogonal decomposition
Computer Physics CommunicationsExperimental measurements often present corrupted data and outliers that can strongly affect the main coherent structures extracted with the classical modal analysis techniques. This effect is amplified at high frequencies, whose corresponding modes are more susceptible to contamination from measurement noise and uncertainties.
Colanera A., Schmidt O. T., Chiatto M.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Density Matrix Renormalization for Model Reduction in Nonlinear Dynamics
, 2007 We present a novel approach for model reduction of nonlinear dynamical systems based on proper orthogonal decomposition (POD). Our method, derived from Density Matrix Renormalization Group (DMRG), provides a significant reduction in computational effort ...
A. C. Antoulas +9 more
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Phase-Averaging Methods for the Natural Flowfield of a Fluidic Oscillator [PDF]
, 2015 The presented study examines various methods for phase averaging the naturally oscillating flowfield of a scaled-up fluidic oscillator. No external trigger is employed to control the oscillation of the flow.
Nayeri, Christian Navid +3 more
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