Results 211 to 220 of about 15,590,832 (310)

Experimental and Numerical Modal Analysis of Composite Sandwich Structures Using Surfboards as Model Systems

Advanced Engineering Materials, EarlyView.
This article presents an experimental and numerical modal investigation of composite sandwich structures using surfboards as model systems. By comparing different core materials and reinforcement strategies, the study demonstrates how local stiffeners influence vibrational response and introduce characteristic modal features, highlighting modal ...
Brett Connellan, Luca Lomazzi, Mathis Mercier, Kara Stark, Marc in het Panhuis   +4 more
wiley   +1 more source

Machine Learning Assisted Hybrid Cuckoo Search for Predictive Optimization in Renewable Energy Systems. [PDF]

F1000Res
Dalaf N, Abbas IT.
europepmc   +1 more source

Triple Junctions as Dislocation‐Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation

Advanced Engineering Materials, EarlyView.
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink, Saba Saood, Peter Schweizer, Jörg Neugebauer, Gerhard Dehm   +4 more
wiley   +1 more source

Modified Z-algorithms for reckoning fixed points with application to nonlinear integral equations. [PDF]

PLoS One
Rehman HU, Hammad HA, Abdalla MEM.
europepmc   +1 more source

Electrified Damage in Motion Systems

Advanced Engineering Materials, EarlyView.
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir, Angelina Nguyen, Hong Liang   +2 more
wiley   +1 more source

Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method

Advanced Engineering Materials, EarlyView.
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley   +1 more source

Inf-Sup Stable Space-Time Discretization of the Wave Equation Based on a First-Order-In-Time Variational Formulation. [PDF]

J Sci Comput
Ferrari M, Perugia I, Zampa E.
europepmc   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Transcriptomic and phenotypic convergence of neurodevelopmental disorder risk genes in vitro and in vivo. [PDF]

Nat Neurosci
Fernandez Garcia M, Retallick-Townsley K, Pruitt A, Davidson EA, Balafkan N, Warrell J, Huang TC, Kibowen A, Chu Z, Dai Y, Fitzpatrick SE, Meng R, Sen A, Cohen S, Livoti O, Khan S, Becker C, Luiz Teles E Silva A, Liu J, Dossou G, Cheung J, Liu S, Ghorbani S, Deans PJM, DeCiucis M, Emani P, Gao H, Shen H, Gerstein M, Wang Z, Huckins LM, Hoffman EJ, Brennand K.   +32 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source