Results 101 to 110 of about 8,894,290 (234)
Design of a Multistable Finger Prosthesis with Programmable Metamaterials
Advanced Engineering Materials, EarlyView.This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
Advanced Engineering Materials, EarlyView.Cu and combined Cu–P microalloying refine the microstructure and enhance the nanoindentation‐derived fracture resistance of CoNiAlSi ferromagnetic shape memory alloys without suppressing the martensitic transformation. Comparative SEM, DSC, and nanoindentation results reveal that the CuP‐containing alloy provides the most balanced response, achieving ...
Mehmet Demir
wiley +1 more source
Leza Mesiah, Half the Sky, 1980
Mailed "Half the Sky" flyer to B.J. Clay with a Return to Sender sticker on it. The flyer is sponsored by Johncy Mundo and is titled, "Announcing The First Women's Bookstore in Dallas.
Half the Sky
core +1 more source
The measurement errors of X-ray devices features
Технологія та конструювання в електронній апаратурі, 2011 Expressions for calculating the measurement errors of X-ray devices features are given as follows: mean photon energy, homogeneity coefficient, the first and the second half-value layer (1st HVL, 2nd HVL). Comparison of errors is organized at measurement
S. A. Dushkin +4 more
doaj
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Feasibility of the new copper pipe method for evaluating half-value layer in computed tomography: A measurement and Monte Carlo simulation study. [PDF]
J Appl Clin Med Phys, 2019 Okubo R +4 more
europepmc +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
Advanced Functional Materials, EarlyView.DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Real-time dosimeter employed to evaluate the half-value layer in CT. [PDF]
Phys Med Biol, 2014 McKenney SE +6 more
europepmc +1 more source
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 +11 more
wiley +1 more source