Results 61 to 70 of about 6,628 (246)

Thermal field reconstruction and compressive sensing using proper orthogonal decomposition

Frontiers in Energy Research
Model 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

From Sourcing to End‐of‐Life: Sustainability Challenges and Opportunities in Organic Bioelectronics

Advanced Science, EarlyView.
Organic bioelectronics bridges biology and electronics using organic mixed ionic/electronic conductors. This Perspective addresses sustainability across the full lifecycle of organic bioelectronic materials and devices, offering a framework to guide material sourcing, synthesis, fabrication, application, and end‐of‐life strategies toward bioelectronic ...
Gwennaël Dufil, Marine Batista, Andrea Bionda, Erica Zeglio   +3 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

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

Guide to Spectral Proper Orthogonal Decomposition

AIAA Journal, 2020
This paper discusses the spectral proper orthogonal decomposition and its use in identifying modes, or structures, in flow data.
Schmidt, Oliver T., Colonius, Tim
openaire   +2 more sources

Highly‐Uniform Passive Crossbar Arrays of Resistive Switching Random Access Memory (RRAM) for In‐Memory Computing Applications

Advanced Electronic Materials, EarlyView.
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci, P. Mannocci, M. Porzani, D. Bridarolli, F. Carletti, M. Farronato, D. Ielmini   +6 more
wiley   +1 more source

Proper orthogonal decomposition analysis for two-oscillating grid turbulence with viscoelastic fluids

Advances in Mechanical Engineering, 2016
In this article, the experiments of two-oscillating grid turbulence with viscoelastic fluids were carried out using particle image velocimetry. Two classical drag-reducing additives with viscoelastic characteristics were chosen: polymer (polyacrylamide ...
Yue Wang, Wei-Hua Cai, Tong-Zhou Wei, Hong-Na Zhang, Lu Wang, Feng-Chen Li   +5 more
doaj   +1 more source

Proper orthogonal decomposition for optimality systems [PDF]

ESAIM: Mathematical Modelling and Numerical Analysis, 2008
The authors consider optimal control problems of the form \[ \min J(y,u)\quad\text{s.t. }y_t(t)= F(y(t))+ B(u(t)),\;y(0)= y_0, \] where the differential equation is considered in weak form in a separable Hilbert space of functions. For this problems, a method is proposed which avoids the problem of unmodelled dynamics in the proper orthogonal ...
Kunisch, Karl, Volkwein, Stefan
openaire   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Advanced multiscale modal and frequency analysis of swirling spray flame near to lean blowout

Case Studies in Thermal Engineering
This study provides an in-depth characterization of Jet-A1 swirled flames' dynamics using advanced decomposition techniques on high-speed OH* chemiluminescence images. Research conducted in a 300-kW combustor with global fuel-to-air ratios Φ = 0.36, 0.24,
Maria Grazia De Giorgi, Pasquale Di Gloria, Donato Fontanarosa, Antonio Ficarella   +3 more
doaj   +1 more source

Bismuth Chalcogenide‐Based Photocatalysts for Nitrogen Reduction: Recent Progress and Prospects

Chemistry – A European Journal, EarlyView.
Bismuth chalcogenides emerge as promising visible‐light photocatalysts for sustainable ammonia synthesis, driven by tunable electronic structures and strong N2 activation. Recent advances reveal how defects, doping and heterojunction design synergistically enhance charge separation and reactivity. Key challenges and future directions highlight pathways
Mukesh K. Verma, Muhammad D. Bala, Phindile B. Khoza, Tshephiso R. Papo, Mzamo L. Shozi   +4 more
wiley   +1 more source