Results 71 to 80 of about 1,753,791 (268)

A Simulation Tool for Radiative Heat Exchangers [PDF]

, 2012
In order to minimize the large fan power demand from low temperature lift heat pump systems, a radiative heat exchanger is proposed as an indoor heat exchanger design in such systems.
Radermacher, Reinhard, Ling, Jiazhen, Hwang, Yunho   +2 more
core  

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Control of laser surface hardening by a reduced-order approach using proper orthogonal decomposition

, 2003
Laser surface hardening of steel is formulated in terms of an optimal control problem, where the state equations are a semilinear heat equation and an ordinary differential equation, which describe the evolution of the high temperature phase. The optimal
Volkwein, Stefan, Hömberg, Dietmar
core   +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

Robust spectral proper orthogonal decomposition

Computer Physics Communications
Experimental 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, Antonio, Schmidt, Oliver T., Chiatto, Matteo   +2 more
openaire   +2 more sources

Clarke Transform: A Lingua Franca for Continuum Robotics

Advanced Intelligent Systems, EarlyView.
Using the Clarke transform, both robot‐dependent mappings are known exactly for kinematic models, leading to a complete chain of transformations between spaces with associated abstraction. This eases the derivation. Therefore, proposing the Clarke transform as a lingua franca and utilizing a practical fact sheet can pave the way for more systematic ...
Reinhard M. Grassmann, Sami Haddadin
wiley   +1 more source

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

Signatures of Unconventional Magnetism in the Layered Metallic Ferromagnet LaCrSb3 From Ferromagnetic Resonance Spectroscopy

Advanced Physics Research, EarlyView.
ABSTRACT LaCrSb3${\rm LaCrSb}_{3}$ is a metallic ferromagnet with a layered crystal structure demonstrating intriguing electronic and magnetic properties, such as large anomalous Hall effect, strong canting of the spin lattice, and a peculiar spin‐reorientation transition.
J. J. Abraham, S. Samanta, R. Kolay, V. Singh, R. Nath, B. Büchner, V. Kataev, A. Alfonsov   +7 more
wiley   +1 more source

Electrospun Porous Materials for the Next‐Generation Proton Exchange Membrane Fuel Cells: Progress, Challenges, and AI‐Optimized Perspectives

Carbon Energy, EarlyView.
Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang, Panfeng Wang, You Gong, Zeyu Sun, Huatan Chen, Geng Wang, Ting Tao, Chuang Zhai, Xi Wang, Ruixin Chen, Jiaxin Jiang, Bingrong Zhang   +11 more
wiley   +1 more source

Frequency-Domain Proper Orthogonal Decomposition for Asynchronously Sampled Unsteady Flow Fields

Modelling
The snapshot proper orthogonal decomposition (POD) method relies on synchronously sampled datasets, significantly limiting its utility for analyzing asynchronous measurements in unsteady flow studies.
Chen Xu, Yang Yang, Xiaojiang Gu, Yijun Mao   +3 more
doaj   +1 more source