Results 71 to 80 of about 114,105 (252)
Energy preserving model order reduction of the nonlinear Schr\"odinger equation [PDF]
, 2018 An energy preserving reduced order model is developed for two dimensional nonlinear Schr\"odinger equation (NLSE) with plane wave solutions and with an external potential.
Karasözen, Bülent, Uzunca, Murat
core +2 more sources
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
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
A Temporal Proper Orthogonal Decomposition (TPOD) Method for Closed-Loop Flow Control [PDF]
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 2010 Motivated by closed-loop flow control applications, a new formulation of the proper orthogonal decomposition (POD) is presented which is capable of characterizing not only the controlled and natural states of a given flow but also the transient behavior between these states.
Stanislav Gordeyev, Flint Thomas
openaire +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
Advanced Intelligent Systems, EarlyView.We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Symplectic Model Reduction of Hamiltonian Systems [PDF]
, 2015 In this paper, a symplectic model reduction technique, proper symplectic decomposition (PSD) with symplectic Galerkin projection, is proposed to save the computational cost for the simplification of large-scale Hamiltonian systems while preserving the ...
Mohseni, Kamran, Peng, Liqian
core
Model order reduction approaches for infinite horizon optimal control problems via the HJB equation
, 2016 We investigate feedback control for infinite horizon optimal control problems for partial differential equations. The method is based on the coupling between Hamilton-Jacobi-Bellman (HJB) equations and model reduction techniques.
A. Alla +19 more
core +1 more source
Engineering Applications of Computational Fluid MechanicsThe flow-induced vibration of the outer windshield of high-speed train intensifies as the train's speed increases, impacting stability and safety during operation. The vibration characteristics of outer windshields are crucial for optimizing higher-speed
Xiang Liu, Pengxiang Lv, Xiao Liu
doaj +1 more source
Shock and Vibration, 2016 Multicrack localization in operating rotor systems is still a challenge today. Focusing on this challenge, a new approach based on proper orthogonal decomposition (POD) is proposed for multicrack localization in rotors.
Zhiwen Lu +4 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source