Results 81 to 90 of about 23,034 (257)

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

An Advanced Stochastic 1D Inverse Finite Element Method for Strain Extrapolation with Experimental Validation

Engineering Proceedings
The Inverse Finite Element Method (iFEM) is a valuable tool for reconstructing displacement fields from strain measurements, making it ideal for structural health monitoring.
Jacopo Bardiani, Roberto Marotta, Emanuele Petriconi, Georgios Aravanis, Andrea Manes, Claudio Sbarufatti   +5 more
doaj   +1 more source

Delamination Detection and Localization in Vibrating Composite Plates and Shells Using the Inverse Finite Element Method. [PDF]

Sensors (Basel), 2023
Ganjdoust F, Kefal A, Tessler A.
europepmc   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Design of Planar Multilayer Devices for Optical Filtering Using Surrogate Model Based on Artificial Neural Network

Optics
Artificial intelligence paradigms hold significant potential to advance nanophotonics. This study presents a novel approach to designing a plasmonic absorber using an artificial neural network as a surrogate model in conjunction with a genetic algorithm.
Davi F. Rêgo, Fabrício G. S. Silva, Rodrigo C. Gusmão, Vitaly F. Rodriguez-Esquerre   +3 more
doaj   +1 more source

Mechanistic Origins of Chemo‐Mechanical Instability and Failure in Solid‐State Lithium‐Sulfur Electrodes

Advanced Functional Materials, EarlyView.
Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma, Ahmad Ahmad, Bairav S. Vishnugopi, Partha P. Mukherjee   +3 more
wiley   +1 more source

Identification of Random Material Parameters in Eddy Current Problems

Advances in Electrical and Computer Engineering, 2014
Stochastic identification of material parameters in eddy current problems is presented. A method has been developed for computing eddy currents in materials with random magnetic properties.
SLUZALEC, A.
doaj   +1 more source

Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells

Advanced Functional Materials, EarlyView.
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong, Qihang Wang, Andre E. Vellwock, Sinuhe Perea Puente, Tingting Zhu, Jia Hui Lim, Kadda Medjoubi, Sebastian Hoerl, Erika Griesshaber, Wolfgang W. Schmahl, Yannicke Dauphin, Emeline Raguin, Peter Werner, Francesco Stellacci, Michael V. Swain, Peter Fratzl, Shahrouz Amini   +16 more
wiley   +1 more source

Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction

Advanced Functional Materials, EarlyView.
A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee, Junho Min, Yonas Tsegaye Megra, Min‐Hye Jeong, Hwi Je Woo, Jaewon Han, Junheon Ha, Gyunghyun Jang, Young Jae Song, Hyun‐Soo Ra, Hoon Hahn Yoon, Jong‐Soo Lee   +11 more
wiley   +1 more source

Reconstructing the Magnetic Field in an Arbitrary Domain via Data-Driven Bayesian Methods and Numerical Simulations

Computation
Inverse problems are prevalent in numerous scientific and engineering disciplines, where the objective is to determine unknown parameters within a physical system using indirect measurements or observations.
Georgios E. Pavlou, Vasiliki Pavlidou, Vagelis Harmandaris   +2 more
doaj   +1 more source