Results 151 to 160 of about 619,204 (327)
Large-Scale Convex Optimization Via Saddle Point Computation [PDF]
, 1999 Markku Kallio, Charles H. Rosa
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SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
Advanced Theory and Simulations, EarlyView.The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
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Convex optimization algorithms in medical image reconstruction-in the age of AI. [PDF]
Phys Med Biol, 2022 Xu J, Noo F.
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State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control
Advanced Science, EarlyView.High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu +13 more
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On-chip micro-ring resonator array spectrum detection system based on convex optimization algorithm. [PDF]
Nanophotonics, 2023 Chen X, Gan X, Zhu Y, Zhang J.
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High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval
Advanced Science, EarlyView.An innovative phase retrieval framework, termed FD‐PR, is uniquely established in the image's feature domain through the feature‐extracted, physical‐driven regression with interfaces for combining physics and image processing constraints. FD‐PR takes advantage of invariance components of an image against presences of model mismatch and uncertainty ...
Shuhe Zhang +4 more
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Topology‐Optimized Bound States in the Continuum with High‐Q Acoustic Field Enhancement
Advanced Science, EarlyView.This study presents a topology optimization method for acoustic metamaterials, achieving high‐Q resonances by redesigning a single unit cell within a periodic array. The design enables precise pressure confinement and energy trapping, validated through experiments.
Weibai Li +2 more
wiley +1 more source
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. [PDF]
Optim Lett, 2021 Banjac G, Lygeros J.
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