Results 71 to 80 of about 21,843 (255)

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 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

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +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

Impact of Disorder on Microscopic Superconducting and Normal‐State Responses in a Kagome Metal

Advanced Functional Materials, EarlyView.
Using depth‐resolved, field‐ and pressure‐dependent μSR$\umu{\rm SR}$ measurements, we show that disorder in Ta‐doped KV3Sb5 drives a crossover from nodal to nodeless superconductivity while strongly modifying the normal‐state magnetic response. Our results reveal that disorder affects superconductivity and magnetism in fundamentally different ways ...
J. N. Graham, S. S. Islam, G. Janka, A. Doll, P. Král, O. Gerguri, J. A. Krieger, T. J. Hicken, X. Xu, X. Yan, H. Qin, Z. Salman, A. Suter, T. Prokscha, R. Thomale, H. Luetkens, R. Khasanov, J.‐X. Yin, Z. Guguchia   +18 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

Two‐Photon Grayscale Lithography (2GL) of High Mechanical and Optical Quality 3D Silica Glass Microstructures

Advanced Functional Materials, EarlyView.
Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider, Jiajie Liang, Paul Somers, Martin Wegener, Jens Bauer   +4 more
wiley   +1 more source

A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses

Advanced Healthcare Materials, EarlyView.
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang, Charles‐Francois Latchoumane, Avi Chopra, Md Marzan Sarkar, Chunki Kim, Nathan Gonsalves, Hsueh‐Fu Wu, John C. Sentmanat, Alan Liu, Isha Mhatre‐Winters, Aditya Mishra, Andrei G. Fedorov, Jay M. Patel, Nadja Zeltner, Steven L. Stice, Jason R. Richardson, Lohitash Karumbaiah   +16 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